AAAI-21(AAAI2021)採択論文のarxivpdfリンク集

はじめに

AAAI2021 accepted paper listに記載されている論文のタイトル・arxivpdfリンクの一覧です。ただしarxivに同名タイトル論文が存在しない場合のリンクは記載されていません。
サーベイ時のpdf探しが面倒なのでやってみました。

抽出方法

前述リンクの採択論文リストに記載された論文タイトルをarXiv APIで調べ、ヒットした論文のpdf_urlを記録しました。(2021/1/11時点)

注意

著者名は省略。
もしかしたらリンクが間違ってる可能性もあります(未確認)。
リンクがついてなくても論文が存在する場合もあります。
(タイトルが上記リストのそれと違っていたり、arxiv以外に論文がある場合はリンクの記載がありません。)

一覧

タイトルは上記論文リストに記載されていた数字も含みます。
論文は全部で1696、リンクが記載されているのは700です。

Main Track

4: Multi-Domain Multi-Task Rehearsal for Lifelong Learning
26: EfficientDeRain: Learning Pixel-Wise Dilation Filtering for High-Efficiency Single-Image
36: Understanding Deformable Alignment in Video Super-Resolution
38: A SAT-Based Resolution of Lam's Problem
39: Nearest Neighbor Classifier Embedded Network for Active Learning
43: Shape-Pose Ambiguity in Learning 3D Reconstruction from Images
44: Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion
63: Building Interpretable Interaction Trees for Deep NLP Models
67: Revisiting Dominance Pruning in Decoupled Search
68: Meta-Transfer Learning for Low-Resource Abstractive Summarization
69: Structured Co-Reference Graph Attention for Video-Grounded Dialogue
73: Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
80: Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component
83: NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
86: MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
103: AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
106: Learning to Copy Coherent Knowledge for Response Generation
109: PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-Order Feature
110: Knowledge Refactoring for Inductive Program Synthesis
111: LCollision: Fast Generation of Collision-Free Human Poses Using Learned Non-Penetration
117: Incremental Embedding Learning via Zero-Shot Translation
120: Weakly-Supervised Temporal Action Localization by Uncertainty Modeling
122: CAKES: Channel-Wise Automatic Kernel Shrinking for Efficient 3D Networks
132: Landmark Generation in HTN Planning
142: On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
146: Ethical Dilemmas in Strategic Games
147: Comprehension and Knowledge
149: Epistemic Logic of Know-Who
151: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
155: Treatment Effect Estimation with Disentangled Latent Factors
176: Exploration via State Influence Modeling
179: How to Train Your Agent to Read and Write
181: Why Do Attributes Propagate in Graph Convolutional Neural Networks?
195: Learning Modulated Loss for Rotated Object Detection
197: Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object
199: Multi-Task Learning by Leveraging the Semantic Information
200: F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
205: Learning to Count via Unbalanced Optimal Transport
216: Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd
222: MangaGAN: Unpaired Photo-to-Manga Translation Based on the Methodology of Manga
228: Rain Streak Removal via Dual Graph Convolutional Network
233: RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation
239: Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature
240: Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware
241: Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
257: Task Aligned Generative Meta-Learning for Zero-Shot Learning
258: When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing
260: SHOT-VAE: Semi-Supervised Deep Generative Models with Label-Aware ELBO Approximations
262: Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease
267: Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing
278: Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
279: Detecting Beneficial Feature Interactions for Recommender Systems
283: Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
286: Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
296: Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision
299: A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
315: Traffic Flow Prediction with Vehicle Trajectories
328: Camera-Aware Proxies for Unsupervised Person Re-Identification
329: Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
351: CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
353: How Does Data Augmentation Affect Privacy in Machine Learning?
354: Achieving Envy-Freeness and Equitability with Monetary Transfers
364: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
370: EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
374: Fine-Grained Generalization Analysis of Vector-Valued Learning
376: Hand-Model-Aware Sign Language Recognition
380: Endomorphisms of Classical Planning Tasks
384: TransTailor: Pruning the Pre-Trained Model for Improved Transfer Learning
393: Dual Quaternion Knowledge Graph Embeddings
397: Defending against Contagious Attacks on a Network with Resource Reallocation
400: Robust Model Compression Using Deep Hypotheses
404: Semi-Supervised Metric Learning: A Deep Resurrection
405: Non-Autoregressive Coarse-to-Fine Video Captioning
409: Explicitly Modeled Attention Maps for Image Classification
412: Representative Proxy Voting
415: Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality
416: Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
418: High-Resolution Deep Image Matting
419: Any-Precision Deep Neural Networks
420: Regret Bounds for Batched Bandits
421: Sample Selection for Universal Domain Adaptation
430: Bayesian Distributional Policy Gradients
437: SMIL: Multimodal Learning with Severely Missing Modality
444: FedRec++: Lossless Federated Recommendation with Explicit Feedback
447: UAG: Uncertainty-Aware Attention Graph Neural Network for Defending Adversarial Attacks
452: Self-Supervised Bilingual Syntactic Alignment for Neural Machine Translation
465: Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation
471: Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
477: Deep Metric Learning with Self-Supervised Ranking
479: Learning from Noisy Labels with Complementary Loss Functions
483: Context-Guided Adaptive Network for Efficient Human Pose Estimation
487: Context-Aware Graph Convolution Network for Target Re-Identification
495: Adaptive Knowledge Driven Regularization for Deep Neural Networks
498: On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-Player Games
501: Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware
514: Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the
520: Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine
540: Learning Intact Features by Erasing-Inpainting for Few-Shot Classification
542: Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
563: Lifelong Multi-Agent Path Finding in Large-Scale Warehouses
564: Learning to Purify Noisy Labels via Meta Soft Label Corrector
566: Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer
567: Graph and Temporal Convolutional Network for Spatio-Temporal 3D Multi-Person Pose
572: PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by
578: Learning to Attack Real-World Models for Person Re-Identification via Virtual-Guided MetaLearning
582: Efficient License Plate Recognition via Holistic Position Attention
588: Stability and Generalization for Decentralized Stochastic Gradient Descent
589: Domain General Face Forgery Detection by Learning to Weight
592: Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
605: Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors
606: Social-DPF: Socially Acceptable Distribution Prediction of Futures
611: Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
615: Graph Heterogeneous Multi-Relational Recommendation
621: Semi-Supervised Medical Image Segmentation through Dual-Task Consistency
623: Interpreting Neural Networks as Quantitative Argumentation Frameworks
631: Inferring Camouflage Objects by Texture-Aware Interactive Guidance Network
634: Parallel Constraint Acquisition
636: Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
639: PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning
645: Beating Attackers at Their Own Games: Adversarial Example Detection Using Adversarial
647: Contrastive Triple Extraction with Generative Transformer
655: Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks – A Complexity
676: Scalable First-Order Methods for Robust MDPs
678: Justicia: A Stochastic SAT Approach to Formally Verify Fairness
698: Multi-Level Distance Regularization for Deep Metric Learning
704: Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
706: Exploring Transfer Learning for End-to-End Spoken Language Understanding
707: A General Setting for Gradual Semantics Dealing with Similarity
710: Maintenance of Social Commitments in Multiagent Systems
724: Teacher Guided Neural Architecture Search for Face Recognition
726: Initiative Defense against Facial Manipulation
727: Very Important Person Localization in Unconstrained Conditions: A New Benchmark
738: Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
740: Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
761: RpBERT: A Text-Image Relation Propagation-Based BERT Model for Multimodal NER
764: Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to
765: Evolution Strategies for Approximate Solution of Bayesian Games
766: LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection
780: Contrastive Transformation for Self-Supervised Correspondence Learning
797: Model Uncertainty Guides Visual Object Tracking
799: RSGNet: Relation Based Skeleton Graph Network for Crowded Scenes Pose Estimation
807: Adversarial Pose Regression Network for Pose-Invariant Face Recognitions
809: MIEHDR CNN: Main Image Enhancement Based Ghost-Free High Dynamic Range Imaging
813: Time-Independent Planning for Multiple Moving Agents
821: MeInGame: Create a Game Character Face from a Single Portrait
829: The Price of Connectivity in Fair Division
830: Hierarchical Multiple Kernel Clustering
831: Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
833: Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
838: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent
844: FaceController: Controllable Attribute Editing for Face in the Wild
855: Diffusion Network Inference from Partial Observations
861: SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
863: High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
866: Split then Refine: Stacked Attention-Guided ResUNets for Blind Single Image Visible
867: SARG: A Novel Semi Autoregressive Generator for Multi-Turn Incomplete Utterance
869: DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural
870: Boosting Image-Based Mutual Gaze Detection Using Pseudo 3D Gaze
871: Partially Non-Autoregressive Image Captioning
885: MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
896: Augmenting Policy Learning with Routines Discovered from a Single Demonstration
897: Protecting the Protected Group: Circumventing Harmful Fairness
898: RGB-D Salient Object Detection via 3D Convolutional Neural Networks
907: Probing Product Description Generation via Posterior Distillation
911: Evidence Inference Networks for Interpretable Claim Verification
920: Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
932: In-Game Residential Home Planning via Visual Context-Aware Global Relation Learning
938: Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
942: One-Shot Face Reenactment Using Appearance Adaptive Normalization
943: Dividing a Graphical Cake
946: Differentially Private Stochastic Coordinate Descent
949: Few-Shot Lifelong Learning
955: Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
959: Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning
994: Conditional Inference under Disjunctive Rationality
995: Object-Centric Image Generation from Layouts
996: Matching on Sets: Conquer Occluded Person Re-Identification Without Alignment
997: Verifiable Machine Ethics in Changing Contexts
1020: Exploiting Relationship for Complex-Scene Image Generation
1026: Pragmatic Code Autocomplete
1029: Confidence-Aware Non-Repetitive Multimodal Transformers for TextCaps
1041: Partial Is Better Than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning
1049: PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
1054: OPQ: Compressing Deep Neural Networks with One-Shot Pruning-Quantization
1057: Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel
1059: Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question
1060: Characterizing the Loss Landscape in Non-Negative Matrix Factorization
1063: TabNet: Attentive Interpretable Tabular Learning
1066: New Length Dependent Algorithm for Maximum Satisfiability Problem
1068: Copy That! Editing Sequences by Copying Spans
1069: Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse
1074: Subtype-Aware Unsupervised Domain Adaptation for Medical Diagnosis
1078: Welfare Guarantees in Schelling Segregation
1079: Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative
1083: Learning with Retrospection
1085: RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile
1094: BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
1095: SnapMix: Semantically Proportional Mixing for Augmenting Fine-Grained Data
1103: Clustering Ensemble Meets Low-Rank Tensor Approximation
1109: Learning Hybrid Relationships for Person Re-Identification
1121: Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
1122: Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning
1123: Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster
1136: Scalable Affinity Propagation for Massive Datasets
1137: Self-Supervised Attention-Aware Reinforcement Learning
1139: A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem
1140: ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point
1143: CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
1162: Flow-Based Generative Models for Learning Manifold to Manifold Mappings
1163: BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds
1169: Hierarchical Reinforcement Learning for Integrated Recommendation
1172: Proactive Privacy-Preserving Learning for Retrieval
1173: Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
1174: Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling
1178: DeepDT: Learning Geometry from Delaunay Triangulation for Surface Reconstruction
1191: Disentangled Information Bottleneck
1201: GIF Thumbnails: Attract More Clicks to Your Videos
1205: An Improved Upper Bound for SAT
1212: Towards More Practical and Efficient Automatic Dominance Breaking
1214: Who You Would Like to Share With? A Study of Share Recommendation in Social ECommerce
1236: Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
1239: SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
1250: TDAF: Top-Down Attention Framework for Vision Tasks
1252: A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
1260: Reinforced History Backtracking for Conversational Question Answering
1263: Compressing Deep Convolutional Neural Networks by Stacking Low-Dimensional Binary
1264: Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans
1274: Generalising without Forgetting for Lifelong Person Re-Identification
1275: Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
1282: Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
1289: Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction
1291: A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
1292: Semi-Supervised Knowledge Amalgamation for Sequence Classification
1302: Scalable Verification of Quantized Neural Networks
1310: Deep Metric Learning with Graph Consistency
1314: Living without Beth and Craig: Definitions and Interpolants in Description Logics with
1315: HR-Depth : High Resolution Self-Supervised Monocular Depth Estimation
1322: Pyramidal Feature Shrinking for Salient Object Detection
1324: Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in
1329: Enhancing Balanced Graph Edge Partition with Effective Local Search
1335: A Bayesian Approach for Subset Selection in Contextual Bandits
1343: Object Relation Attention for Image Paragraph Captioning
1346: Fair and Truthful Mechanisms for Dichotomous Valuations
1351: Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
1352: Contrastive Clustering
1353: Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
1361: GoT: a Growing Tree Model for Clustering Ensemble
1364: Searching for Alignment in Face Recognition
1365: Attentive Neural Point Processes for Event Forecasting
1368: GRASP: Generic Framework for Health Status Representation Learning Based on
1370: Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking
1373: Class-Incremental Instance Segmentation via Multi-Teacher Networks
1376: Dynamically Grown Generative Adversarial Networks
1379: Few-Shot Font Generation with Localized Style Representations and Factorization
1396: ACT: An Attentive Convolutional Transformer for Efficient Text Classification
1398: Generalized Zero-Shot Learning via Disentangled Representation
1404: Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse
1408: Narrative Plan Generation with Self-Supervised Learning
1409: Action Candidate Based Clipped Double Q-Learning for Discrete and Continuous Action Tasks
1412: Self-Supervised Sketch-to-Image Synthesis
1413: The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an
1426: TIME: Text and Image Mutual-Translation Adversarial Networks
1431: DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
1432: Simple or Complex? Learning to Predict Readability of Bengali Texts
1434: Type-Augmented Relation Prediction in Knowledge Graphs
1436: Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange
1442: Learning of Structurally Unambiguous Probabilistic Grammars
1445: Automatic Generation of Flexible Plans via Diverse Temporal Planning
1446: Physarum Powered Differentiable Linear Programming Layers and Applications
1471: Neural Sentence Ordering Based on Constraint Graphs
1473: Federated Multi-Armed Bandits
1479: Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax
1489: Uncertainty Quantification in CNN through the Bootstrap of Convex Neural Networks
1493: Temporal Relational Modeling with Self-Supervision for Action Segmentation
1503: Differentially Private and Communication Efficient Collaborative Learning
1504: Debiasing Evaluations That Are Biased by Evaluations
1506: Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition
1507: Self-Supervised Pre-Training and Contrastive Representation Learning for Multiple-Choice
1523: MVFNet: Multi-View Fusion Network for Efficient Video Recognition
1528: Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
1532: RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
1534: Anticipating Future Relations via Graph Growing for Action Prediction
1536: TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from
1538: Unified Tensor Framework for Incomplete Multi-View Clustering and Missing-View Inferring
1546: Spatial-Temporal Causal Inference for Partial Image-to-Video Adaptation
1559: Similarity Reasoning and Filtration for Image-Text Matching
1571: BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for
1588: Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent
1596: Deep Unsupervised Image Hashing by Maximizing Bit Entropy
1611: Pre-Training Context and Time Aware Location Embeddings from Spatial-Temporal
1612: GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object
1613: Learning Comprehensive Motion Representation for Action Recognition
1619: Dual-Level Collaborative Transformer for Image Captioning
1620: Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency
1624: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
1625: Mind the Gap: Cake Cutting with Separation
1627: Quantum-Inspired Neural Network for Conversational Emotion Recognition
1630: Memory-Augmented Image Captioning
1633: AutoLR: Layer-Wise Pruning and Auto-Tuning of Learning Rates in Fine-Tuning of Deep
1637: How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation
1640: Retrospective Reader for Machine Reading Comprehension
1645: Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray
1654: Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
1657: Ranking Sets of Defeasible Elements in Preferential Approaches to Structured
1663: Translate the Facial Regions You Like Using Self-Adaptive Region Translation
1666: LRC-BERT: Latent-Representation Contrastive Knowledge Distillation for Natural Language
1672: A Unified Framework for Planning with Learned Neural Network Transition Models
1677: Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory
1692: Inferring Emotion from Large-Scale Internet Voice Data: A Semi-Supervised Curriculum
1693: CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis
1706: Towards Domain Invariant Single Image Dehazing
1726: Instrumental Variable-Based Identification for Causal Dffects Using Covariate Information
1745: Choosing the Initial State for Online Replanning
1757: Second Order Techniques for Learning Time-Series with Structural Breaks
1759: What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
1770: Neural Sentence Simplification with Semantic Dependency Information
1807: Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts
1808: HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
1813: HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
1839: Targeted Negative Campaigning: Complexity and Approximations
1845: FracBits: Mixed Precision Quantization via Fractional Bit-Widths
1855: Few-Shot One-Class Classification via Meta-Learning
1864: Joint Demosaicking and Denoising in the Wild: The Case of Training under Ground Truth
1869: Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
1872: Correlative Channel-Aware Fusion for Multi-View Time Series Classification
1883: GAN Ensemble for Anomaly Detection
1889: Self-Supervised Hypergraph Convolutional Networks for Session-Based Recommendation
1891: Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
1894: Longitudinal Deep Kernel Gaussian Process Regression
1895: Generalized Adversarially Learned Inference
1900: Spectral Distribution Aware Image Generation
1909: DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator
1912: On Scalar Embedding of Relative Positions in Attention Models
1924: I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
1931: Embedding Heterogeneous Networks into Hyperbolic Space without Meta-Path
1939: Anomaly Attribution with Likelihood Compensation
1942: Gradient Descent Averaging and Primal-Dual Averaging for Strongly Convex Optimization
1951: Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
1952: Neural Sequence-to-Grid Module for Learning Symbolic Rules
1964: Local Relation Learning for Face Forgery Detection
1965: Contrastive and Generative Graph Convolutional Networks for Graph-Based SemiSupervised Learning
1970: Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition
1975: Dual Sparse Attention Network for Session-Based Recommendation
1991: EQG-RACE: Examination-Type Question Generation
1995: Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for
2002: Coupled Layer-Wise Graph Convolution for Transportation Demand Prediction
2005: Distributed Ranking with Communications: Approximation Analysis and Applications
2015: Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
2017: Learnable Dynamic Temporal Pooling for Time Series Classification
2030: Learning to Check Contract Inconsistencies
2034: Sparsity Aware Normalization for GANs
2035: Improving Generative Moment Matching Networks with Distribution Partition
2037: Overcoming Catastrophic Forgetting in Graph Neural Networks
2044: Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic
2046: Efficient Classification with Adaptive KNN
2050: ExGAN: Adversarial Generation of Extreme Samples
2059: Coalition Formation in Multi-Defender Security Games
2076: Terrace-Based Food Counting and Segmentation
2079: SIMPLE: Single-Network with Mimicking and Point Learning for Bottom-Up Human Pose
2088: Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling
2105: FCFR-Net: Feature Fusion Based Coarse-to-Fine Residual Learning for Depth Completion
2107: Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
2116: U-BERT: Pre-Training User Representations for Improved Recommendation
2123: Efficient Deep Image Denoising via Class Specific Convolution
2127: Estimation of Spectral Risk Measures
2135: Stochastic Graphical Bandits with Adversarial Corruptions
2136: Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
2141: Strong Explanations in Abstract Argumentation
2148: C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion
2155: Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER
2158: Structure-Aware Person Image Generation with Pose Decomposition and Semantic
2160: A Model of Winners Allocation
2162: Discovering Fully Oriented Causal Networks
2164: PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
2179: RESA: Recurrent Feature-Shift Aggregator for Lane Detection
2183: Teaching Active Human Learners
2184: An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis
2186: Warm Starting CMA-ES for Hyperparameter Optimization
2189: Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational
2191: From Label Smoothing to Label Relaxation
2192: Kernel-Convoluted Deep Neural Networks with Data Augmentation
2200: Regret Bounds for Online Kernel Selection in Continuous Kernel Space
2206: Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
2210: Proportionally Representative Participatory Budgeting with Ordinal Preferences
2215: FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction
2224: Merging Statistical Feature via Adaptive Gate for Improved Text Classification
2226: Gaussian Process Priors for View-Aware Inference
2235: BT Expansion: A Sound and Complete Algorithm for Behavior Planning of Intelligent Robots
2239: Better Bounds on the Adaptivity Gap of Influence Maximization under Full-Adoption
2240: Training Binary Neural Network without Batch Normalization for Image Super-Resolution
2247: Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
2249: Learning a Few-Shot Embedding Model with Contrastive Learning
2258: KGDet: Keypoint-Guided Fashion Detection
2261: Arbitrary Video Style Transfer via Multi-Channel Correlation
2262: UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2: Yunyi Yang,
2266: Learning a Gradient-Free Riemannian Optimizer on Tangent Spaces
2270: DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
2277: Maximin Fairness with Mixed Divisible and Indivisible Goods
2280: On Lipschitz Regularization of Convolutional Layers Using Toeplitz Matrix Theory
2281: The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via
2287: Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
2294: Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
2303: On the Complexity of Finding Justifications for Collective Decisions
2308: Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
2323: Task-Independent Knowledge Makes for Transferable Representations for Generalized ZeroShot Learning
2325: An Efficient Algorithm for Deep Stochastic Contextual Bandits
2327: Computing the Proportional Veto Core
2329: Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
2334: TripleTree: A Versatile Interpretable Representation of Black Box Agents and their
2345: Spherical Image Generation from a Single Image by Considering Scene Symmetry
2352: Relative Variational Intrinsic Control
2355: Hierarchical Graph Capsule Network
2358: Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
2360: Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
2365: Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
2371: Multi-Document Transformer for Personality Detection
2372: Learning with Group Noise
2377: Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-Supervised Edge
2378: Incentivizing Truthfulness through Audits in Strategic Classification
2380: DASZL: Dynamic Action Signatures for Zero-Shot Learning
2386: Enhancing Scientific Papers Summarization with Citation Graph
2411: XraySyn: Realistic View Synthesis from a Single Radiograph through CT Prior
2412: Value-Decomposition Multi-Agent Actor-Critics
2414: Multi-Party Campaigning
2415: Solving Infinite-Domain CSPs Using the Patchwork Property
2417: Disjunctive Temporal Problems under Structural Restrictions
2431: Advice-Guided Reinforcement Learning in a Non-Markovian Environment
2439: Adaptive Teaching of Temporal Logic Formulas to Preference-Based Learners
2441: Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning
2446: CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction
2450: Modeling Voters in Multi-Winner Approval Voting
2453: Metrics and Continuity in Reinforcement Learning
2460: Meta Learning for Causal Direction
2461: The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media
2475: Implicit Kernel Attention
2495: Unsupervised Active Learning via Subspace Learning
2504: Fairness-Aware News Recommendation with Decomposed Adversarial Learning
2538: Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
2549: Self-Supervised Multi-View Stereo via Effective Co-Segmentation and Data-Augmentation
2554: Multi-Modal Multi-Label Emotion Recognition with Heterogeneous Hierarchical Message
2556: NASGEM: Neural Architecture Search via Graph Embedding Method
2562: Semantic-Guided Reinforced Region Embedding for Generalized Zero-Shot Learning
2568: SMART Frame Selection for Action Recognition
2571: Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
2581: Ada-Segment: Automated Multi-Loss Adaptation for Panoptic Segmentation
2583: Accelerated Combinatorial Search for Outlier Detection with Provable Bound on SubOptimality
2584: Multi-View Inference for Relation Extraction with Uncertain Knowledge
2585: Dual Compositional Learning in Interactive Image Retrieval
2589: Disentangled Motif-Aware Graph Learning for Phrase Grounding
2593: SA-BNN: State-Aware Binary Neural Network
2600: LRSC: Learning Representations for Subspace Clustering
2606: Towards Universal Physical Attacks on Single Object Tracking
2608: Automated Clustering of High-Dimensional Data with a Feature Weighted Mean-Shift
2633: Learning Visual Context for Group Activity Recognition
2635: What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via
2638: Progressive One-Shot Human Parsing
2642: Mining EL Bases with Adaptable Role Depth
2649: Parameterized Logical Theories
2650: Learning Geometry-Disentangled Representation for Complementary Understanding of 3D
2662: Generalize a Small Pre-Trained Model to Arbitrarily Large TSP Instances
2665: Gradient Regularized Contrastive Learning for Continual Domain Adaptation
2666: Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
2669: Isolation Graph Kernel
2670: Scaling-Up Robust Gradient Descent Techniques
2671: Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
2681: Storage Fit Learning with Feature Evolvable Streams
2687: Analysing the Noise Model Error for Realistic Noisy Label Data
2696: Topology Distance: A Topology Based Approach for Evaluating Generative Adversarial
2698: MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
2700: Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
2711: Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
2715: Addressing Action Oscillations through Learning Policy Inertia
2721: FIMAP: Feature Importance by Minimal Adversarial Perturbation
2742: Quantification of Resource Production Incompleteness
2750: Partial-Label and Structure-Constrained Deep Coupled Factorization Network
2751: Time Series Domain Adaptation via Sparse Associative Structure Alignment
2753: Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
2754: Robust Multi-Modality Person Re-Identification
2755: Learning to Truncate Ranked Lists for Information Retrieval
2757: Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
2758: Extracting Zero-Shot Structured Information from Form-like Documents: Pretraining with
2764: Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
2782: f-Aware Conflict Prioritization & Improved Heuristics for Conflict-Based Search
2790: From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from
2796: Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal
2797: Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
2805: Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural
2806: Improving Gradient Flow with Unrolled Highway Expectation Maximization
2807: How to Save your Annotation Cost for Panoptic Segmentation?
2808: Learning Representations for Incomplete Time Series Clustering
2832: Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition
2839: Coupon Design in Advertising Systems
2842: Adversarial Directed Graph Embedding
2846: Margin of Victory in Tournaments: Structural and Experimental Results
2849: Commission Fee Is Not Enough: A Hierarchical Reinforced Framework for Portfolio
2858: Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
2862: On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
2863: Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
2874: Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on
2878: A One-Size-Fits-All Solution to Conservative Bandit Problems
2881: The Complexity Landscape of Claim-Augmented Argumentation Frameworks
2885: PGNet: Real-Time Arbitrarily-Shaped Text Spotting with Point Gathering Network
2890: Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised
2893: ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action
2900: Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images
2912: Policy-Guided Heuristic Search with Guarantees
2915: Deep Probabilistic Imaging: Uncertainty Quantification and Multi-Modal Solution
2916: OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
2930: Scarce Societal Resource Allocation and the Price of (Local) Justice
2937: Modeling Deep Learning Based Privacy Attacks on Physical Mail
2939: Vector Quantized Bayesian Neural Network Inference for Data Streams
2948: Present-Biased Optimization
2950: Fractal Autoencoders for Feature Selection
2963: Learned Bi-Resolution Image Coding Using Generalized Octave Convolutions
2967: Semi-Supervised Sequence Classification through Change Point Detection
2969: On Continuous Local BDD-Based Search for Hybrid SAT Solving
2970: Multi-Proxy Wasserstein Classifier for Image Classification
2971: Lipschitz Lifelong Reinforcement Learning
2977: Decentralized Multi-Agent Linear Bandits with Safety Constraints
2983: Near-Optimal MNL Bandits Under Risk Criteria
2989: A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
2998: DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation
2999: Weakly Supervised Temporal Action Localization through Learning Explicit Subspaces for
3004: Aggregating Binary Judgments Ranked by Accuracy
3010: Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
3011: Exact Reduction of Huge Action Spaces in General Reinforcement Learning
3013: Exploring Auxiliary Reasoning Tasks for Task-Oriented Dialog Systems with Meta Cooperative
3014: Hierarchical Macro Discourse Parsing Based on Topic Segmentation
3018: Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination
3021: Uncertain Graph Neural Networks for Facial Action Unit Detection
3022: Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning
3025: Less Than One'-Shot Learning: Learning N Classes from M < N Samples
3030: Taxonomy Completion via Triplet Matching Network
3041: Proxy Graph Matching with Proximal Matching Networks
3047: Self-Paced Two-Dimensional PCA
3049: Group Testing on a Network
3050: Tri-Level Robust Clustering Ensemble with Multiple Graph Learning
3056: Expected Value of Communication for Planning in Ad Hoc Teamwork
3064: Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based
3066: Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
3071: Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior
3084: Graph Game Embedding
3085: Learning Omni-Frequency Region-Adaptive Representations for Real Image Super-Resolution
3090: On Convergence of Gradient Expected Sarsa (lambda)
3094: Visual Tracking via Hierarchical Deep Reinforcement Learning
3110: Recognizing and Verifying Mathematical Equations Using Multiplicative Differential Neural
3116: Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling
3129: EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
3135: AugSplicing: Synchronized Behavior Detection in Streaming Tensors
3138: Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
3154: SCNet: Training Inference Sample Consistency for Instance Segmentation
3163: Re-TACRED: Addressing Shortcomings of the TACRED Dataset
3167: ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
3177: Joint Color-Irrelevant Consistency Learning and Identity-Aware Modality Adaptation for
3182: Cold-Start Sequential Recommendation via Meta Learner
3193: Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural
3196: The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
3197: Learning Local Neighboring Structure for Robust 3D Shape Representation
3200: Deep Partial Rank Aggregation for Personalized Attributes
3203: SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
3209: A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps
3211: Scene Graph Embeddings Using Relative Similarity Supervision
3214: Deterministic Mini-Batch Sequencing for Training Deep Neural Networks
3217: A Complexity-Theoretic Analysis of Green Pickup-and-Delivery Problems
3224: Temporal Segmentation of Fine-Gained Semantic Action: A Motion-Centered Figure Skating
3231: Stratified Negation in Datalog with Metric Temporal Operators
3245: Learning the Parameters of Bayesian Networks from Uncertain Data
3254: Dense Events Grounding in Video
3262: Continuous Self-Attention Models with Neural ODE Networks
3263: On-the-Fly Synthesis for LTL over Finite Traces
3268: Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical
3270: Peer Collaborative Learning for Online Knowledge Distillation
3279: A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
3285: DeepCollaboration: Collaborative Generative and Discriminative Models for Class
3290: GDPNet: Refining Latent Multi-View Graph for Relation Extraction
3310: Argument Mining Driven Analysis of Peer-Reviews
3323: Adversarial Training with Fast Gradient Projection Method against Synonym Substitution
3326: Newton Optimization on Helmholtz Decomposition for Continuous Games
3331: United for Change: Deliberative Coalition Formation to Change the Status Quo
3337: Voxel R-CNN: Towards High Performance Voxel-Based 3D Object Detection
3339: Optical Flow Estimation from a Single Motion-Blurred Image
3343: Motion-Blurred Video Interpolation and Extrapolation
3345: Co-Mining: Self-Supervised Learning for Sparsely Annotated Object Detection
3365: Uncertainty-Aware Multi-View Representation Learning
3370: Temporal ROI Align for Video Object Recognition
3376: Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
3382: Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational
3389: A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender
3390: Cross-Layer Distillation with Semantic Calibration
3399: Hierarchical Graph Convolution Network for Traffic Forecasting
3402: Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
3412: Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
3416: Distant Transfer Learning via Deep Random Walk
3431: Adaptive Algorithms for Multi-Armed Bandit with Composite and Anonymous Feedback
3433: Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
3435: A Hybrid Bandit Framework for Diversified Recommendation
3441: One-Shot Graph Neural Architecture Search with Dynamic Search Space
3446: Deep Mutual Information Maximin for Cross-Modal Clustering
3447: Composite Adversarial Attacks
3454: VMLoc: Variational Fusion for Learning-Based Multimodal Camera Localization
3459: Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for OneStep Person Search
3460: Equivalent Causal Models
3467: RTS3D: Real-Time Stereo 3D Detection From 4D Feature-Consistency Embedding Space for
3468: The Counterfactual NESS Definition of Causation
3486: Looking Wider for Better Adaptive Representation in Few-Shot Learning
3496: DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
3500: Fooling Thermal Infrared Pedestrian Detector in Real World Using Small Bulbs
3507: Learning from the Best: Rationalizing Predictions by Adversarial information Calibration
3509: Dynamic Position-Aware Network for Fine-Grained Image Recognition
3516: Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
3520: Multi-Type Disentanglement without Adversarial Training
3527: Budget Feasible Mechanisms over Graphs
3530: STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
3534: Ethically Compliant Sequential Decision Making
3535: Amnesiac Machine Learning
3569: Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction
3588: Inference Fusion with Associative Semantics for Unseen Object Detection
3606: SSPC-Net: Semi-Supervised Semantic 3D Point Cloud Segmentation Network
3607: Stabilizing Q Learning via Soft Mellowmax Operator
3617: Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed by
3622: Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures
3635: Image Captioning with Context-Aware Auxiliary Guidance
3639: PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
3640: GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for
3644: Activity Image-to-Video Retrieval by Disentangling Appearance and Motion
3648: Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive
3649: On the Convergence of Communication-Efficient Local SGD for Federated Learning
3650: Universal Trading for Order Execution with Oracle Policy Distillation
3651: A Generative Adversarial Framework for Bounding Confounded Causal Effects
3652: Binaural Audio-Visual Localization
3653: Point Cloud Semantic Scene Completion from RGB-D Images
3665: Competitive Analysis for Two-Level Ski-Rental Problem
3667: DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and
3670: Improving Fairness and Privacy in Selection Problems
3677: An Efficient Transformer Decoder with Compressed Sub-Layers
3679: Learning Task-Distribution Reward Shaping with Meta-Learning
3680: Consensus Graph Representation Learning for Better Grounded Image Captioning
3684: Amata: An Annealing Mechanism for Adversarial Training Acceleration
3692: PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
3696: A Theoretical Analysis of the Repetition Problem in Text Generation
3697: Hierarchical Coherence Modeling for Document Quality Assessment
3708: Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the
3720: Preserving Condorcet Winners under Strategic Manipulation
3726: Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
3727: Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D
3734: Safe Search for Stackelberg Equilibria in Extensive-Form Games
3735: Dual Distribution Alignment Network for Generalizable Person Re-Identification
3738: Uncovering Latent Biases in Text: Method and Application to Peer Review
3742: Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR
3751: MIMOSA: Multi-Constraint Molecule Sampling for Molecule Optimization
3755: What's the Best Place for an AI Conference, Vancouver or _______: Why Completing
3766: Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
3767: Interpretable NLG for Task-Oriented Dialogue Systems with Heterogeneous Rendering
3769: Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with
3780: Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using
3796: Temporal Latent Autoencoder: A Method for Probabilistic Multivariate Time Series
3800: STELAR: Spatio-Temporal Tensor Factorization with Latent Epidemiological Regularization
3802: MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
3803: The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and
3805: Constructing a Fair Classifier with Generated Fair Data
3806: Hypothesis Disparity Regularized Mutual information Maximization
3807: Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games
3812: Scheduling of Time-Varying Workloads Using Reinforcement Learning
3820: Self-Correcting Q-Learning
3823: Open-Set Recognition with Gaussian Mixture Variational Autoencoders
3838: A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning
3840: Sample-Specific Output Constraints for Neural Networks
3843: Preference Elicitation as Average-Case Sorting
3850: Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
3857: Optimal Kidney Exchange with Immunosuppressants
3883: Online Learning in Variable Feature Spaces under Incomplete Supervision
3885: ChronoR: Rotation Based Temporal Knowledge Graph Embedding
3897: Diverse Knowledge Distillation for End-to-End Person Search
3898: SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
3899: Continuous-Time Attention for Sequential Learning
3907: Accurate and Robust Feature Importance Estimation under Distribution Shifts
3913: Deep Fusion Clustering Network
3917: SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person ReIdentification
3927: Deep Portfolio Optimization via Distributional Prediction of Residual Factors
3949: Conceptualized and Contextualized Gaussian Embedding
3951: Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
3952: Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded
3955: Adversarial Robustness through Disentangled Representations
3967: Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active
3972: Query-Memory Re-Aggregation for Weakly-Supervised Video Object Segmentation
3976: Heterogeneous Graph Structure Learning for Graph Neural Networks
3996: Generative Partial Visual-Tactile Fused Object Clustering
4019: Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate
4024: Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation
4027: Multi-View information-Bottleneck Representation Learning
4043: A Trace-Restricted Kronecker-Factored Approximation to Natural Gradient
4046: Writing Polishment with Simile: Task, Dataset and a Neural Approach
4049: Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
4056: District-Fair Participatory Budgeting
4067: Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
4093: Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal
4110: Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
4111: Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
4120: Appearance-Motion Memory Consistency Network for Video Anomaly Detection
4138: Training Spiking Neural Networks with Accumulated Spiking Flow
4139: Multi-Task Recurrent Modular Networks
4146: Relation-Aware Neighborhood Matching Model for Entity Alignment
4156: Finding Sparse Structure for Domain Specific Neural Machine Translation
4167: Distilling Localization for Self-Supervised Representation Learning
4182: Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
4186: One for More: Selecting Generalizable Samples for Generalizable ReID Model
4197: Deep Semantic Dictionary Learning for Multi-Label Image Classification
4202: Meta-Learning Effective Exploration Strategies for Contextual Bandits
4214: Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
4220: Provable Benefits of Overparameterization in Model Compression: From Double Descent to
4221: Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
4224: Diagnose Like a Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level
4252: Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
4255: PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge
4267: Disentangled Representation Learning in Heterogeneous Information Network for LargeScale Android Malware Detection in the COVID-19 Era and Beyond
4269: LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme
4272: MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
4278: VisualMRC: Machine Reading Comprehension on Document Images
4279: HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled
4284: Latent Independent Excitation for Generalizable Sensor-Based Cross-Person Activity
4293: Algebra of Modular Systems: Containment and Equivalence
4295: Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with
4296: Rethinking Object Detection in Retail Stores
4301: KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning
4302: EMLight: Lighting Estimation via Spherical Distribution Approximation
4306: Sequential End-to-End Network for Efficient Person Search
4313: Gene Regulatory Network Inference Using 3D Convolutional Neural Network
4317: A General Class of Transfer Learning Regression without Implementation Cost
4322: SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
4324: Does Head Label Help for Long-Tailed Multi-Label Text Classification
4333: Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
4335: Label Confusion Learning to Enhance Text Classification Models
4341: CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label
4344: Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
4349: Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing
4355: Efficient Folded Attention for Medical Image Reconstruction and Segmentation
4382: Uncertainty-Matching Graph Neural Networks to Defend against Poisoning Attacks
4386: DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender
4394: Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
4433: Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
4445: Learning Disentangled Representation for Fair Facial Attribute Classification via FairnessAware information Alignment
4450: AI-Assisted Scientific Data Collection with Iterative Human Feedback
4461: KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
4463: Simultaneous 2nd Price Item Auctions with No-Underbidding
4464: Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
4465: Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
4473: TRQ: Ternary Neural Networks with Residual Quantization
4481: TextGAIL: Generative Adversarial Imitation Learning for Text Generation
4491: Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
4492: Fast Multi-View Discrete Clustering with Anchor Graphs
4515: Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework
4524: Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
4527: Future-Guided Incremental Transformer for Simultaneous Translation
4531: REFINE: Prediction Fusion Network for Panoptic Segmentation
4536: Simple and Effective Stochastic Neural Networks
4541: Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
4553: DeepwriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
4570: Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search
4583: Unsupervised Model Adaptation for Continual Semantic Segmentation
4601: Supervised Training of Dense Object Nets Using Optimal Descriptors for Industrial Robotic
4616: Reaching Individually Stable Coalition Structures in Hedonic Games
4619: Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and
4620: On the Complexity of Sum-of-Products Problems over Semirings
4639: Unsupervised Domain Adaptation for Person Re-Identification via Heterogeneous Graph
4640: Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
4658: Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
4662: Persuading Voters in District-Based Elections
4673: An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level
4676: A Multi-Step-Ahead Markov Conditional Forward Model with Cube Perturbations for
4678: Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph AutoEncoder
4681: Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings
4693: Deep Spiking Neural Network with Neural Oscillation and Spike-Phase information
4715: A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
4719: Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
4723: Gated Linear Networks
4726: MASKER: Masked Keyword Regularization for Reliable Text Classification
4761: A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
4766: Riemannian Embedding Banks for Common Spatial Patterns with EEG-Based SPD Neural
4767: Evolutionary Approach for Autoaugment Using the Thermodynamical Genetic Algorithm
4809: High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition
4822: Cost-Aware Graph Generation: A Deep Bayesian Optimization Approach
4838: FLAME: Differentially Private Federated Learning in the Shuffle Model
4841: Locate Globally, Segment Locally: A Progressive Architecture with Knowledge Review
4847: Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
4848: Write-a-Speaker: Text-Based Emotional and Rhythmic Talking-Head Generation
4849: DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
4859: An LP-Based Approach for Goal Recognition as Planning
4870: Double Oracle Algorithm for Computing Equilibria in Continuous Games
4875: Static-Dynamic interaction Networks for Offline Signature Verification
4876: Progression Heuristics for Planning with Probabilistic LTL Constraints
4893: Multi-View Representation Learning with Manifold Smoothness
4895: Equitable Scheduling on a Single Machine
4901: The Complexity of Object Association in Multiple Object Tracking
4902: Deep Style Transfer for Line Drawings
4917: KAN: Knowledge-Aware Attention Network for Fake News Detection
4919: Deep Radial-Basis Value Functions for Continuous Control
4927: Communicative Message Passing for Inductive Relation Reasoning
4940: TSQA: Tabular Scenario Based Question Answering
4950: Deep Just-in-Time Inconsistency Detection between Comments and Source Code
4951: Transfer Graph Neural Networks for Pandemic Forecasting
4958: HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word
4960: A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large
4967: Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
4968: Signaling in Bayesian Network Congestion Games: The Subtle Power of Symmetry
4971: Optimal Decision Trees for Nonlinear Metrics
4972: REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
4979: Semantic Consistency Networks for 3D Object Detection
4981: Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction
4984: Towards Enabling Learnware to Handle Unseen Jobs
4986: Region-Aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound
4990: Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor
4992: Catch Me If I Can: Detecting Strategic Behaviour in Peer Assessment
4998: Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
4999: Bayesian Optimized Monte Carlo Planning
5002: Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-Time Polyp
5007: Deep Low-Contrast Image Enhancement Using Structure Tensor Representation
5008: Towards Effective Context for Meta-Reinforcement Learning: An Approach Based on
5009: How Do We Move: Modeling Human Movement with System Dynamics
5012: Improved POMDP Tree Search Planning with Prioritized Action Branching
5018: Parameterized Algorithms for MILPS with Small Treedepth
5023: Joint Semantic-Geometric Learning for Polygonal Building Segmentation
5031: The Parameterized Complexity of Clustering Incomplete Data
5035: Document-Level Relation Extraction with Reconstruction
5036: Simple is Not Easy: A Simple Strong Baseline for TextVQA and TextCaps
5044: Symbolic Search for Oversubscription Planning
5045: Automated Model Design and Benchmarking of Deep Learning Models for COVID-19
5046: Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition
5050: Understanding Catastrophic Overfitting in Single-Step Adversarial Training
5056: Trembling-Hand Perfection and Correlation in Sequential Games
5058: Toward Robust Long Range Policy Transfer
5072: High Dimensional Level Set Estimation with Bayesian Neural Network
5076: Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
5077: Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
5078: Neural Relational Inference with Efficient Message Passing Mechanisms
5082: Toward Understanding the Influence of Individual Clients in Federated Learning
5083: Edge-Competing Pathological Liver Vessel Segmentation with Limited Labels
5084: A Simple Framework for Cognitive Planning
5087: Symbolic Search for Optimal Total-Order HTN Planning
5089: How Linguistically Fair Are Multilingual Pre-Trained Language Models?
5091: Objective-Based Hierarchical Clustering of Deep Embedding Vectors
5095: Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
5096: Deep Graph Spectral Evolution Networks for Graph Topological Evolution
5101: Reinforcement Learning with Trajectory Feedback
5105: Knowledge-Guided Object Discovery with Acquired Deep Impressions
5110: Tracking interaction States for Multi-Turn Text-to-SQL Semantic Parsing
5111: Commonsense Knowledge Aware Concept Selection for Diverse and Informative Visual
5116: Collaborative Group Learning
5126: Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for
5131: GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
5132: A Bottom-Up DAG Structure Extraction Model for Math Word Problems
5135: Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual
5139: ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
5154: ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud
5159: Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition
5162: Decaug: Augmenting HOI Detection via Decomposition
5167: Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
5171: Certifying Top-Down Decision-DNNF Compilers
5174: Approximate Multiplication of Sparse Matrices with Limited Space
5176: Towards Faithfulness in Open Domain Table-to-Text Generation from an Entity-Centric View
5178: Parameterized Complexity of Small Decision Tree Learning
5186: Attention-Based Multi-Level Fusion Network for Light Field Depth Estimation
5192: Time Series Anomaly Detection with Multiresolution Ensemble Decoding
5200: Projection-Free Online Learning in Dynamic Environments
5202: Majority Opinion Diffusion in Social Networks: An Adversarial Approach
5210: MARTA: Leveraging Human Rationales for Explainable Text Classification
5219: Constraint Logic Programming for Real-World Test Laboratory Scheduling
5220: Projection-Free Online Learning over Strongly Convex Sets
5230: Faster Stackelberg Planning via Symbolic Search and Information Sharing
5238: GraphMSE: Efficient Meta-Path Selection in Semantically Aligned Feature Space for Graph
5245: ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative
5256: Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization
5262: Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation
5266: Augmented Experiment in Material Engineering Using Machine Learning
5277: Joint-Label Learning by Dual Augmentation for Time Series Classification
5278: Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding
5282: Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
5284: GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via GoalLiteral Babbling
5287: Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action
5292: Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
5296: A Graph Reasoning Network for Multi-Turn Response Selection via Customized Pre-Training
5298: Increasing Iterate Averaging for Solving Saddle-Point Problems
5303: Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
5309: Provably Secure Federated Learning against Malicious Clients
5320: WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
5322: A Recipe for Global Convergence Guarantee in Deep Neural Networks
5323: Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
5328: Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph
5334: Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
5338: Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
5340: Deep Event Stereo Leveraged by Event-to-Image Translation
5353: A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
5357: Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled
5363: Planning with Learned Object Importance in Large Problem Instances Using Graph Neural
5365: Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
5368: On Fair Division under Heterogeneous Matroid Constraints
5369: ROSITA: Refined BERT Compression with Integrated Techniques
5374: Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
5390: Satisfiability and Algorithms for Non-Uniform Random k-SAT
5401: Achieving Proportionality up to the Maximin Item with Indivisible Goods
5410: Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating
5413: Variational Fair Clustering
5417: Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for
5421: AnchorFace: An Anchor-Based Facial Landmark Detector across Large Poses
5436: Right for Better Reasons: Training Differentiable Models by Constraining their Influence
5439: Nutri-Bullets: Summarizing Health Studies by Composing Segments
5454: CrossNER: Evaluating Cross-Domain Named Entity Recognition
5461: Programmatic Strategies for Real-Time Strategy Games
5472: Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
5474: Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial
5476: *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
5487: Responsibility Attribution in Parameterized Markovian Models
5501: Relational Classification of Biological Cells in Microscopy Images
5502: Fully Exploiting Cascade Graphs for Real-Time Forwarding Prediction
5505: Complete Closed Time Intervals-Related Patterns Mining
5518: Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation
5535: Theoretically Principled Deep Rl Acceleration via Nearest Neighbor Function Approximation
5542: Condorcet Relaxation in Spatial Voting
5543: Generating Natural Language Attacks in a Hard Label Black Box Setting
5546: Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
5551: Neural Architecture Search as Sparse Supernet
5571: Modeling the Probabilistic Distribution of Unlabeled Data for One-Shot Medical Image
5574: Local Differential Privacy for Bayesian Optimization
5593: Communication-Efficient Projection-Free Algorithm for Nonconvex Constrained Learning
5608: Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with
5611: Scalable Graph Networks for Particle Simulations
5617: Efficient On-Chip Learning for Optical Neural Networks through Power-Aware Sparse ZerothOrder Optimization
5618: Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for
5620: Knowledge-Base Degrees of Inconsistency: Complexity and Counting
5623: An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections
5637: Mercer Features for Efficient Combinatorial Bayesian Optimization
5638: A Market-Inspired Bidding Scheme for Peer Review Paper Assignment
5641: Explaining a Black-Box by Using a Deep Variational information Bottleneck Approach
5654: Out-of-Town Recommendation with Travel Intention Modeling
5657: A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
5668: Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
5674: High-Confidence Off-Policy (or Counterfactual) Variance Estimation
5676: Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
5677: Self-Progressing Robust Training
5678: Preferred Explanations for Ontology-Mediated Queries under Existential Rules
5681: Learning Contextual Representations for Semantic Parsing with Generation-Augmented PreTraining
5693: Market-Based Explanations of Collective Decisions
5694: Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
5695: Saturated Post-Hoc Optimization for Classical Planning
5696: Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
5701: Exacerbating Algorithmic Bias through Fairness Attacks
5711: On the Adequacy of Untuned Warmup for Adaptive Optimization
5712: Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
5716: Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
5719: Automated Storytelling via Causal, Commonsense Plot Ordering
5724: ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-Based Machine
5725: Deep Probabilistic Canonical Correlation Analysis
5737: An Enhanced Advising Model in Teacher-Student Framework Using State Categorization
5738: Automated Mechanism Design for Classification with Partial Verification
5755: A Unified Taylor Framework for Revisiting Attribution Methods
5761: Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
5767: How RL Agents Behave When Their Actions Are Modified
5771: Almost Linear Time Density Level Set Estimation via DBSCAN
5772: Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for
5774: Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training
5790: Learning by Fixing: Solving Math Word Problems with Weak Supervision
5797: Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
5802: Personalized Cross-Silo Federated Learning on Non-IID Data
5804: Fair and Efficient Online Allocations with Normalized Valuations
5807: Group Fairness by Probabilistic Modeling with Latent Fair Decisions
5811: Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
5824: Incentive-Aware PAC Learning
5830: Learning Intuitive Physics with Multimodal Generative Models
5835: Holistic Multi-View Building Analysis in the Wild with Projection Pooling
5837: Asking the Right Questions: Learning Interpretable Action Models through Query Answering
5847: Model-Sharing Games: Analyzing Federated Learning under Voluntary Participation
5870: Variational Disentanglement for Rare Event Modeling
5889: Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
5893: Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
5906: Domain Adaptation in Reinforcement Learning via Latent Unified State Representation
5908: Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation
5915: Testing Independence between Linear Combinations for Causal Discovery
5918: Efficient Querying for Cooperative Probabilistic Commitments
5920: Bidirectional RNN Based Few Shot Learning for 3D Medical Image Segmentation
5922: Task Cooperation for Semi-Supervised Few-Shot Learning
5923: Learning To Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
5929: Online Optimal Control with Affine Constraints
5930: Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
5935: Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
5937: Multidimensional Uncertainty-Aware Evidential Neural Networks
5941: Robust Contextual Bandits via Bootstrapping
5948: Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An
5963: Winning Lottery Tickets in Deep Generative Models
5966: Learning Flexibly Distributional Representation for Low-Quality 3D Face Recognition
5970: Learning to Recommend from Sparse Data via Generative User Feedback
5971: Deep Recurrent Belief Propagation Network for POMDPs
5994: Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural
5995: Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
6001: Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge
6008: Automated Symbolic Law Discovery: A Computer Vision Approach
6011: Interactive Speech and Noise Modeling for Speech Enhancement
6013: DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
6019: IA-GM: A Deep Bidirectional Learning Method for Graph Matching
6027: Research Reproducibility as a Survival Analysis
6031: Inverse Reinforcement Learning from Like-Minded Teachers
6033: Neighborhood Consensus Networks for Unsupervised Multi-View Outlier Detection
6049: FontRL: Chinese Font Synthesis via Deep Reinforcement Learning
6067: Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
6070: Coordination between Individual Agents in Multi-Agent Reinforcement Learning
6072: CHEF: Cross-Modal Hierarchical Embeddings for Food Domain Retrieval
6079: Towards Robust Visual information Extraction in Real World: New Dataset and Novel
6087: Classification with Few Tests through Self-Selection
6098: Semantic MapNet: Building Allocentric Semanticmaps and Representations from Egocentric
6112: Extreme k-Center Clustering
6121: Fair and Efficient Allocations under Subadditive Valuations
6122: Fair and Efficient Allocations under Lexicographic Preferences
6128: Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated
6155: Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
6159: Transfer Learning for Efficient Iterative Safety Validation
6162: ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
6180: RNA Secondary Structure Representation Network for RNA-Proteins Binding Prediction
6199: Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic
6207: Dual Adversarial Graph Neural Networks for Multi-Label Cross-Modal Retrieval
6208: ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
6211: Constrained Risk-Averse Markov Decision Processes
6218: Learning Interpretable Models for Couple Networks under Domain Constraints
6224: A Hybrid Probabilistic Approach for Table Understanding
6237: Deep Wasserstein Graph Discriminant Learning for Graph Classification
6256: UNIpoint: Universally Approximating Point Processes Intensities
6267: Boundary Proposal Network for Two-Stage Natural Language Video Localization
6269: A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking
6278: Discovering New Intents with Deep Aligned Clustering
6281: Continual Learning by Using Information of Each Class Holistically
6288: A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition
6293: StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
6302: Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
6310: A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
6311: Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
6317: PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
6323: Visual Relation Detection Using Hybrid Analogical Learning
6324: Leveraging Table Content for Zero-Shot Text-to-SQL with Meta-Learning
6327: Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
6343: The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based
6347: Neural Analogical Matching
6350: Unanswerable Question Correction in Question Answering over Personal Knowledge Base
6351: Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit
6357: GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning
6366: Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter
6374: Improving Continuous-Time Conflict Based Search
6381: Wasserstein Distributionally Robust Inverse Multiobjective Optimization
6393: Active Bayesian Assessment of Black-Box Classifiers
6406: SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
6415: UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask
6416: Graph-Based Tri-Attention Network for Answer Ranking in CQA
6418: Treewidth-Aware Complexity in ASP: Not All Positive Cycles Are Equally Hard
6428: Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks
6429: Patch-Wise Attention Network for Monocular Depth Estimation
6437: Hierarchically and Cooperatively Learning Traffic Signal Control
6446: Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
6452: To Choose or To Fuse? Scale Selection for Crowd Counting
6462: Embodied Visual Active Learning for Semantic Segmentation
6469: Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
6471: Linearly Replaceable Filters for Deep Network Channel Pruning
6476: Knowledge Refinery: Learning from Decoupled Label
6489: Interpretable Actions: Controlling Experts with Understandable Commands
6491: Shuffling Recurrent Neural Networks
6493: Simpson's Bias in NLP Training
6502: Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering
6503: Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder
6512: Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep
6514: Synchronous Interactive Decoding for Multilingual Neural Machine Translation
6531: Unchain the Search Space with Hierarchical Differentiable Architecture Search
6544: MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
6557: Learning Term Embeddings for Lexical Taxonomies
6577: HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
6610: Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
6611: THOR, Trace-Based Hardware-Driven Layer-Oriented Natural Gradient Descent Computation
6612: On the Optimal Efficiency of A* with Dominance Pruning
6617: Learning Deep Generative Models for Queuing Systems
6618: Two-Stream Convolution Augmented Transformer for Human Activity Recognition
6627: Toward Realistic Virtual Try-On through Landmark Guided Shape Matching
6643: News Content Completion with Location-Aware Image Selection
6669: SongMASS: Automatic Song Writing with Pre-Training and Alignment Constraint
6672: Entity Guided Question Generation with Contextual Structure and Sequence Information
6681: Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
6682: A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and Its Applications
6698: Towards Balanced Defect Prediction with Better information Propagation
6700: Effective Slot Filling via Weakly-Supervised Dual-Model Learning
6716: MetaAugment: Sample-Aware Data Augmentation Policy Learning
6725: Nested Named Entity Recognition with Partially-Observed TreeCRFs
6737: RareBERT: Transformer Architecture for Rare Disease Patient Identification Using
6740: Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom
6746: Do Response Selection Models Really Know What’s Next? Utterance Manipulation Strategies
6758: Balanced Open Set Domain Adaptation via Centroid Alignment
6763: Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
6781: A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching
6790: Demodalizing Face Recognition with Synthetic Samples
6811: Escaping Local Optima with Non-Elitist Evolutionary Algorithms
6821: Audio-Visual Localization by Synthetic Acoustic Image Generation
6825: Differential Spectral Normalization (DSN) for PDE Discovery
6839: Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud
6850: Slimmable Generative Adversarial Networks
6859: Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained
6867: Disposable Linear Bandits for Online Recommendations
6871: Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework
6872: Consistency and Finite Sample Behavior of Binary Class Probability Estimation
6879: Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information
6887: Efficient Truthful Scheduling and Resource Allocation through Monitoring
6897: Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms
6910: Online Posted Pricing with Unknown Time-Discounted Valuations
6912: Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal
6914: Fitting the Search Space of Weight-Sharing NAS with Graph Convolutional Networks
6932: Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial
6933: Aligning Artificial Neural Networks and Ontologies Towards Explainable AI
6937: Exploratory Machine Learning with Unknown Unknowns
6939: Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks
6941: Multi-Scale Graph Fusion for Co-Saliency Detection
6950: PointINet: Point Cloud Frame Interpolation Network
6951: Community-Aware Multi-Task Transportation Demand Prediction
6954: More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation
6956: Computing Plan-Length Bounds Using Lengths of Longest Paths
6966: Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
6977: DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio
6989: Going Deeper with Directly-Trained Larger Spiking Neural Networks
7014: Differentiable Inductive Logic Programming for Structured Examples
7015: Memory-Gated Recurrent Networks
7017: Contrastive Self-Supervised Learning for Graph Classification
7018: Reinforcement Learning with a Disentangled Universal Value Function for Item
7025: Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs
7030: Nyströmformer: A Nyströmform-Based Algorithm for Approximating Self-Attention
7040: Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
7047: IQ -- Incremental Learning for Solving QSAT
7051: SDGNN: Learning Node Representation for Signed Directed Networks
7052: Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs
7061: Contract Scheduling with Predictions
7065: Filling the Gap of Utterance-Aware and Speaker-Aware Representation for Multi-Turn
7071: Semantic Grouping Network for Video Captioning
7072: Learning Complex 3D Human Self-Contact
7104: Adversarial Training Reduces Information and Improves Transferability
7109: Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical
7120: Adversarial Defense by Diversified Simultaneous Training of Deep Ensembles
7133: Savable but Lost Lives when ICU Is Overloaded: A Model from 733 Patients in Epicenter
7140: Fused Sequential and Hierarchical Representation Model for Aspect Term Extraction
7144: Distribution Adaptive INT8 Quantization for Training CNNs
7147: Online Search with Maximum Clearance
7152: Almost Envy-Freeness, Envy-Rank, and Nash Social Welfare Matchings
7173: User Driven Model Adjustment via Boolean Rule Explanations
7178: Consistent-Separable Feature Representation for Semantic Segmentation
7182: Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
7186: Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning
7194: A Graph-Based Relevance Matching Model for Ad-Hoc Retrieval
7196: Self-Domain Adaptation for Face Anti-Spoofing
7200: Adaptive Gradient Methods for Constrained Convex Optimization and Variational
7201: SAT-Based Decision Tree Learning for Large Data Sets
7220: Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency
7228: Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with
7247: Tempered Sigmoid Activations for Deep Learning with Differential Privacy
7257: Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
7260: Accelerating Neural Machine Translation with Partial Word Embedding Compression
7267: Symmetry Breaking for k-Robust Multi-Agent Path Finding
7270: Frequency Consistent Adaptation for Real World Super Resolution
7273: Improving the Efficiency and Effectiveness for Bert-Based Entity Resolution
7281: Automatic Curriculum Learning with Over-Repetition Penalty for Dialogue Policy Learning
7289: Relational Boosted Bandits
7292: A Systematic Evaluation of Object Detection Networks for Scientific Plots
7297: Complex Coordinate-Based Meta-Analysis with Probabilistic Programming
7315: DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
7321: A Unified Multi-Scenario Attacking Network for Visual Object Tracking
7335: Selfish Creation of Social Networks
7346: Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
7359: PoA of Simple Auctions with Interdependent Values
7361: Learning Prediction Intervals for Model Performance
7381: A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem
7391: Generative Semi-Supervised Learning for Multivariate Time Series Imputation
7394: Learning Model-Based Privacy Protection under Budget Constraints
7399: Towards Efficient Selection of Activity Trajectories Based on Diversity and Coverage
7402: Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
7405: C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID19 Outbreak
7408: CMAX++ : Leveraging Experience in Planning and Execution Using Inaccurate Models
7413: Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
7443: Computing Quantal Stackelberg Equilibrium in Extensive-Form Games
7475: Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated
7481: Symmetric Component Caching for Model Counting on Combinatorial Instances
7491: Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow
7492: Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision
7498: SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
7500: Dynamic Memory Based Attention Network for Sequential Recommendation
7505: SALNet: Semi-Supervised Few-Shot Text Classification with Attention-Based Lexicon
7520: PHASE: Physically-Grounded Abstract Social Events for Machine Social Perception
7526: AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
7527: The Smoothed Complexity of Computing Kemeny and Slater Rankings
7531: Branch and Price for Bus Driver Scheduling with Complex Break Constraints
7535: Window Loss for Abnormal Finding Classification and Localization in X-Ray Image with PointBase Annotation
7556: Measuring Dependence with Matrix-Based Entropy Functional
7561: YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation CoDesign
7562: Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection
7565: Neural Utility Functions
7570: Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and
7572: Towards Fully Automated Manga Translation
7574: Predictive Adversarial Learning from Positive and Unlabeled Data
7576: Cascade Size Distributions: Why They Matter and How To Compute Them Efficiently
7616: Analogical Image Translation for Fog Generation
7641: Computationally Tractable Riemannian Manifolds for Graph Embeddings
7644: Characterizing the Evasion Attackability of Multi-Label Classifiers
7653: A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
7657: The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
7672: CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
7673: NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
7677: On the PTAS for Maximin Shares in an Indivisible Mixed Manna
7681: Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological
7686: Classification by Attention: Scene Graph Classification with Prior Knowledge
7688: Plug-and-Play Domain Adaptation for Cross-Subject EEG-Based Emotion Recognition
7695: Gene Regulatory Network Inference as Relaxed Graph Matching
7700: Power in Liquid Democracy
7710: Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
7721: FixMyPose: Pose Correctional Captioning and Retrieval
7722: Adaptive Verifiable Training Using Pairwise Class Similarity
7724: Fair Representations by Compression
7729: Differentially Private k-Means via Exponential Mechanism and Max Cover
7731: Proportional Representation under Single-Crossing Preferences Revisited
7739: CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-Cloud Stream Forecasting
7740: We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism
7741: Learning Continuous High-Dimensional Models Using Mutual Information and Copula
7747: Unsupervised Learning of Discourse Structures Using a Tree Autoencoder
7756: Robustness to Spurious Correlations in Text Classification via Automatically Generated
7765: Generalization in Portfolio-Based Algorithm Selection
7767: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
7769: VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning
7771: Style-Transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric
7778: On Exploiting Hitting Sets for Model Reconciliation
7791: Continual Learning for Named Entity Recognition
7798: Focused Inference and System P
7807: VSQL: Variational Shadow Quantum Learning for Classification
7812: Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and
7833: Knowledge-Driven Natural Language Understanding of English Text and its Applications
7838: Judgment Prediction via Injecting Legal Knowledge into Neural Networks
7844: Faster and Better Simple Temporal Problems
7853: One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a
7855: Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity
7857: A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
7868: Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
7879: On Fair and Efficient Allocations of Indivisible Goods
7890: Frivolous Units: Wider Networks Are Not Really That Wide
7892: Combining Preference Elicitation with Local Search and Greedy Search for Matroid
7907: Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank
7911: DSLR : Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
7923: Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
7929: The Influence of Memory in Multi-Agent Consensus
7930: Symbolic Music Generation with Transformer-GANs
7936: Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
7938: Learning General Planning Policies from Small Examples without Supervision
7940: Learning to Scale Mixed-Integer Programs
7945: Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
7952: Sample Efficient Reinforcement Learning with REINFORCE
7954: Fairness in Forecasting and Learning Linear Dynamical Systems
7955: Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
7956: Counting Maximal Satisfiable Subsets
7971: Bounding Causal Effects on Continuous Outcome
7985: Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
7991: Learning Invariant Representations Using Inverse Contrastive Loss
8003: Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
8004: Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
8013: A Lightweight Neural Model for Biomedical Entity Linking
8016: Enabling Fast Instruction-Based Modification of Learned Robot Skills
8020: NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture
8027: NaturalConv: A Chinese Dialogue Dataset Towards Multi-Turn Topic-Driven Conversation
8029: Reinforcement Learning of Sequential Price Mechanisms
8042: Robust Finite-State Controllers for Uncertain POMDPs
8069: Indecision Modeling
8081: Online Action Recognition
8106: Fair and Efficient Allocations with Limited Demands
8111: Answering Regular Path Queries under Approximate Semantics in Lightweight Description
8113: 5* Knowledge Graph Embeddings with Projective Transformations
8118: i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
8119: GenSynth: Synthesizing Datalog Programs without Language Bias
8124: Robustness Guarantees for Mode Estimation with an Application to Bandits
8144: eTREE: Learning Tree-Structured Embeddings
8145: Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
8153: Learning Precise Temporal Point Event Detection with Misaligned Labels
8154: Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering
8159: Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State
8166: SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
8168: TAC: Towered Actor Critic for Handling Multiple Action Types in Reinforcement Learning for
8179: Conversational Neuro-Symbolic Commonsense Reasoning
8181: Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for
8186: Solving Common-Payoff Games with Approximate Policy Iteration
8192: Contextual Conditional Reasoning
8202: Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
8206: Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
8207: Bias and Variance of Post-Processing in Differential Privacy
8213: Modeling the Compatibility of Stem Tracks to Generate Music Mashups
8216: Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
8233: Perception Score: A Learned Metric for Open-Ended Text Generation Evaluation
8236: Explainable Models with Consistent Interpretations
8253: Bayesian Persuasion under Ex Ante and Ex Post Constraints
8265: On the Tractability of SHAP Explanations
8267: Outlier Impact Characterization for Time Series Data
8279: Individual Fairness in Kidney Exchange Programs
8289: General Policies, Representations, and Planning Width
8293: Automated Lay Language Summarization of Biomedical Scientific Reviews
8308: Document-Level Relation Extraction with Adaptive Thresholding and Localized Context
8309: SMT-Based Safety Checking of Parameterized Multi-Agent Systems
8323: DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement
8325: Steering a Historical Disease Forecasting Model under a Pandemic: Case of Flu and COVID19: Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren
8335: IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
8343: Persistence of Anti-Vaccine Sentiment in Social Networks through Strategic Interactions
8352: Successor Feature Sets: Generalizing Successor Representations across Policies
8353: Classification with Strategically withheld Data
8358: Adversarial Partial Multi-Label Learning with Label Disambiguation
8365: Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding
8367: Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
8373: Context Matters: Graph-Based Self-Supervised Representation Learning for Medical Images
8398: Inverse Reinforcement Learning with Explicit Policy Estimates
8401: LIREx: Augmenting Language Inference with Relevant Explanations
8406: A Scalable Two Stage Approach to Computing Optimal Decision Sets
8413: Finding Diverse Trees, Paths, and More
8417: A Hierarchical Approach to Multi-Event Survival Analysis
8418: On the Softmax Bottleneck of Recurrent Language Models
8419: ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
8428: Membership Privacy for Machine Learning Models through Knowledge Transfer
8431: Consistency Regularization with High-Dimensional Non-Adversarial Source-Guided
8437: A Permutation-Equivariant Neural Network Architecture for Auction Design
8452: StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
8469: A Controllable Model of Grounded Response Generation
8472: Estimating Calibrated Individualized Survival Curves with Deep Learning
8474: Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
8475: Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
8483: IDOL: Inertial Deep Orientation-Estimation and Localization
8484: Graph Neural Networks with Heterophily
8488: Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search
8523: Have We Solved the Hard Problem? It’s Not Easy! Contextual Lexical Contrast as a Means to
8524: Contract-Based Inter-User Usage Coordination in Free-Floating Car Sharing
8526: Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
8537: Improving Causal Discovery by Optimal Bayesian Network Learning
8540: Classifying Sequences of Extreme Length with Constant Memory Applied to Malware
8541: Hybrid-Order Stochastic Block Model
8542: Optimising Automatic Calibration of Electric Muscle Stimulation
8545: Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
8546: Submodular Span, with Applications to Conditional Data Summarization
8554: Communication-Aware Collaborative Learning
8556: Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
8558: Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
8566: How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable
8575: Visual Concept Reasoning Networks
8577: Apparently Irrational Choice as Optimal Sequential Decision Making
8589: Understanding Decoupled and Early Weight Decay
8603: Adversarial Training and Provable Robustness: A Tale of Two Objectives
8606: Smooth Convex Optimization Using Sub-Zeroth-Order Oracles
8608: PID-Based Approach to Adversarial Attacks
8610: Continual General Chunking Problem and SyncMap
8615: Sequential Attacks on Kalman Filter-Based Forward Collision Warning Systems
8617: Inductive Graph Neural Networks for Spatiotemporal Kriging
8619: Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
8636: Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
8642: Stochastic Bandits with Graph Feedback in Non-Stationary Environments
8648: Learning Graphons via Structured Gromov-Wasserstein Barycenters
8654: Low-Rank Registration Based Manifolds for Convection-Dominated PDEs
8662: Learning Graph Neural Networks with Approximate Gradient Descent
8666: Probabilistic Dependency Graphs
8677: Stratified Rule-Aware Network for Abstract Visual Reasoning
8686: HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
8692: AttnMove: History Enhanced Trajectory Recovery via Attentional Network
8700: Interpretable Graph Capsule Networks for Object Recognition
8707: Empowering Adaptive Early-Exit Inference with Latency Awareness
8716: Embracing Domain Differences in Fake News: Cross-Domain Fake News Detection Using
8720: Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
8746: Keyword-Guided Neural Conversational Model
8769: CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts
8771: Online 3D Bin Packing with Constrained Deep Reinforcement Learning
8779: Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed
8780: Adaptive Beam Search Decoding for Discrete Keyphrase Generation
8787: Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
8793: Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
8795: Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction
8804: Minimizing Labeling Cost for Nuclei Instance Segmentation and Classificationwith CrossDomain Images and Weak Labels
8813: Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
8834: DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
8882: Hindsight and Sequential Rationality of Correlated Play
8903: DeHiB: Deep Hidden Backdoor Attack on Semi-Supervised Learning via Adversarial
8907: Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model
8912: Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a
8922: Universal Adversarial Perturbations through the Lens of Deep Steganography: Towards a
8942: Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
8954: Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare
8963: Physics-Constrained Automatic Feature Engineering for Predictive Modeling in Materials
8970: On Estimating Recommendation Evaluation Metrics under Sampling
8972: Robust Fairness under Covariate Shift
8983: Boosting Multi-task Learning through Combination of Task Labels - with Applications in ECG
8987: Estimating Identifiable Causal Effects through Double Machine Learning
8990: Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated
9018: Differentially Private Link Prediction with Protected Connections
9028: PAC Learning of Causal Trees with Latent Variables
9030: DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis
9032: Adversarial Permutation Guided Node Representations for Link Prediction
9044: Single View Point Cloud Generation via Unified 3D Prototype
9069: Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
9071: Computational Analyses of the Electoral College: Campaigning Is Hard but Approximately
9078: (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
9086: Span-Based Event Coreference Resolution
9088: Near Lossless Transfer Learning for Spiking Neural Networks
9097: Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
9099: PenDer: Incorporating Shape Constraints via Penalized Derivatives
9103: Robust Bandit Learning with Imperfect Context
9104: Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
9108: Exploiting Learnable Joint Groups for Hand Pose Estimation
9134: Proposal-Free Video Grounding with Contextual Pyramid Network
9137: Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based
9150: Segmentation of Tweets with URLs and its Applications to Sentiment Analysis
9153: StarNet: Towards Weakly Supervised Few-Shot Object Detection
9155: Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity
9161: FILTER: An Enhanced Fusion Method for Cross-Lingual Language Understanding
9192: Classification under Human Assistance
9199: Lenient Regret for Multi-Armed Bandits
9205: A Blind Block Term Decomposition of High Order Tensors
9208: A Unified Pretraining Framework for Passage Ranking and Expansion
9214: Image-to-Image Retrieval by Learning Similarity between Scene Graphs
9221: Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching
9225: Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided
9241: Human Uncertainty Inference via Deterministic Ensemble Neural Networks
9242: Rejection Sampling for Weighted Jaccard Similarity Revisited
9248: Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with
9254: Learning to Reweight with Deep Interactions
9257: Facility’s Perspective to Fair Facility Location Problems
9262: Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation
9265: Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
9290: Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
9291: Exploring Explainable Selection to Control Abstractive Summarization
9295: Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
9326: Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
9330: Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained
9332: A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving
9350: Loop Estimator for Discounted Values in Markov Reward Processes
9354: Liquid Time-Constant Networks
9365: The Heads Hypothesis: A Unifying Statistical Approach towards Understanding Multi-Headed
9374: End-to-End Semantic Role Labeling with Neural Transition-Based Model
9385: A General Offline Reinforcement Learning Framework for Interactive Recommendation
9392: Efficient Certification of Spatial Robustness
9401: Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised
9427: On-Line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State
9429: Weighting-Based Variable Neighborhood Search for Optimal Camera Placement
9436: Token-Aware Virtual Adversarial Training in Natural Language Understanding
9440: An Information-Theoretic Framework for Unifying Active Learning Problems
9452: On the Verification of Neural ODEs with Stochastic Guarantees
9457: Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
9459: Planning from Pixels in Atari with Learned Symbolic Representations
9475: Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual
9486: Progressive Network Grafting for Few-Shot Knowledge Distillation
9500: Probabilistic Programming Bots in Intuitive Physics Game Play
9512: UWSpeech: Speech to Speech Translation for Unwritten Languages
9535: Variational Inference for Learning Representations of Natural Language Edits
9541: Analogy Training Multilingual Encoders
9549: Teaching the Old Dog New Tricks: Supervised Learning with Constraints
9567: Automated Cross-Prompt Scoring of Essay Traits
9602: Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial
9625: Towards Generalized Implementation of Wasserstein Distance in GANs
9654: Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
9663: Modular Graph Transformer Networks for Multi-Label Image Classification
9686: IB-GAN: Disengangled Representation Learning with Information Bottleneck Generative
9700: Using Hindsight to Anchor Past Knowledge in Continual Learning
9702: End-to-End Differentiable Learning to HDR Image Synthesis for Multi-Exposure Images
9708: Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing
9714: Augmented Partial Mutual Learning with Frame Masking for Video Captioning
9719: Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
9720: Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
9721: Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
9722: Visual Pivoting for (Unsupervised) Entity Alignment
9723: Deep Open Intent Classification with Adaptive Decision Boundary
9724: Movie Summarization via Sparse Graph Construction
9726: Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence
9727: The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring
9737: Fact-Enhanced Synthetic News Generation
9740: Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global
9743: Self-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic
9746: TreeCaps: Tree-Based Capsule Networks for Source Code Processing
9749: Dialog Policy Learning for Joint Clarification and Active Learning Queries
9753: Semantics-Aware Inferential Network for Natural Language Understanding
9758: Topic-Aware Multi-Turn Dialogue Modeling
9759: Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
9766: Stylized Dialogue Response Generation Using Stylized Unpaired Texts
9767: Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation
9770: Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural
9772: Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary
9774: The Power of Literal Equivalence in Model Counting
9783: Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
9784: Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
9785: Show, Attend and Distill: Knowledge Distillation via Attention-Based Feature Matching
9798: Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
9807: DropLoss for Long-Tail Instance Segmentation
9810: Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
9813: Combining Reinforcement Learning and Constraint Programming for Combinatorial
9815: MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
9817: Improved Consistency Regularization for GANs
9820: Quantum Exploration Algorithms for Multi-Armed Bandits
9821: A Case Study of the Shortcut Effects in Visual Commonsense Reasoning
9822: Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters
9826: Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
9831: Differentiable Fluids with Solid Coupling for Learning and Control
9835: GraphMix: Improved Training of GNNs for Semi-Supervised Learning
9839: Brain Decoding Using fNIRS
9842: Contextualized Rewriting for Text Summarization
9845: Consecutive Decoding for Speech-to-Text Translation
9856: Anytime Inference with Distilled Hierarchical Neural Ensembles
9859: Active Feature Selection for the Mutual Information Criterion
9862: Distributional Reinforcement Learning via Moment Matching
9863: Learning Dynamics Models with Stable Invariant Sets
9866: Interpreting Multivariate Shapley Interactions in DNNs
9868: Learning from eXtreme Bandit Feedback
9869: Non-Asymptotic Convergence of Adam-Type Reinforcement Learning Algorithms under
9870: Power up! Robust Graph Convolutional Network via Graph Powering
9871: Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
9877: Projection-Free Bandit Optimization with Privacy Guarantees
9880: Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-Faith
9884: GO Hessian for Expectation-Based Objectives
9885: Context-Aware Attentional Pooling (CAP) for Fine-Grained Visual Classification
9890: Revisiting Consistent Hashing with Bounded Loads
9891: Ordinal Historical Dependence in Graphical Event Models with Tree Representations
9893: If You Like Shapley Then You’ll Love the Core
9903: Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
9905: TempLe: Learning Template of Transitions for Sample Efficient Multi-Task RL
9906: Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
9907: On the Importance of Word Order Information in Cross-Lingual Sequence Labeling
9910: Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
9913: Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
9917: Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic
9925: Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional
9928: A New Bounding Scheme for Influence Diagrams
9929: Searching for Machine Learning Pipelines Using a Context-Free Grammar
9933: Artificial Dummies for Urban Dataset Augmentation
9938: Explaining Neural Matrix Factorization with Gradient Rollback
9940: Binary Matrix Factorisation via Column Generation
9941: Learning to Pre-Train Graph Neural Networks
9942: Towards Reusable Network Components by Learning Compatible Representations
9943: Stable Adversarial Learning under Distributional Shifts
9948: Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
9950: Learning Light-Weight Translation Models from Deep Transformer
9952: Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient
9953: Learning Rewards from Linguistic Feedback
9957: FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
9962: Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
9971: XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense
9972: Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster
9976: Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
9979: Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
9980: HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction
9983: Data-Driven Competitive Algorithms for Online Knapsack and Set Cover
9984: Multi-Dimensional Explanation of Target Variables from Documents
9985: Fast Training of Provably Robust Neural Networks by SingleProp
9986: Learning Adjustment Sets from Observational and Limited Experimental Data
9988: Online Class-Incremental Continual Learning with Adversarial Shapley Value
9994: Precision-Based Boosting
9997: Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer ExtensiveForm Games
9998: Identity-Aware Graph Neural Networks
9999: Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening
10000: Inverse Reinforcement Learning with Natural Language Goals
10011: Towards Feature Space Adversarial Attack by Style Perturbation
10012: Data Augmentation for Graph Neural Networks
10013: Estimating alpha-Rank by Maximizing Information Gain
10014: Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
10016: Differentially Private Decomposable Submodular Maximization
10019: Localization in the Crowd with Topological Constraints
10021: Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
10022: Learning Branching Heuristics for Propositional Model Counting
10024: Towards Topic-Aware Slide Generation for Academic Papers with Unsupervised Mutual
10027: GTA: Graph Truncated Attention for Retrosynthesis
10028: The Sample Complexity of Teaching by Reinforcement on Q-Learning
10029: Geodesic-HOF: 3D Reconstruction without Cutting Corners
10033: Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion
10037: Class-Attentive Diffusion Network for Semi-Supervised Classification
10040: Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty
10043: Variance Penalized On-Policy and Off-Policy Actor-Critic
10056: Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
10060: Inference-Based Deterministic Messaging for Multi-Agent Communication
10062: Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and
10063: MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and
10069: Adressing Class Imbalance in Federated Learning
10076: A Neural Group-Wise Sentiment Analysis Model with Data Sparsity Awareness
10083: DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank
10087: Iterative Utterance Segmentation for Neural Semantic Parsing
10089: Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised
10091: Beyond Low-Frequency Information in Graph Convolutional Networks
10094: Neural-Symbolic Integration: A Compositional Perspective
10098: Policy Optimization as Online Learning with Mediator Feedback
10099: Adversarial Language Games for Advanced Natural Language Intelligence
10103: Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood
10105: MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling
10106: Rethinking Graph Regularization for Graph Neural Networks
10108: A Flexible Framework for Communication-Efficient Machine Learning
10116: Dynamic Knowledge Graph Alignment
10118: Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
10119: Maximum Roaming Multi-Task Learning
10120: Differentially Private Clustering via Maximum Coverage
10122: The Causal Learning of Retail Delinquency
10128: Frugal Optimization for Cost-Related Hyperparameters
10130: Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional
10131: Unsupervised Opinion Summarization with Content Planning
10136: A Theory of Independent Mechanisms for Extrapolation in Generative Models
10137: Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
10138: Open Domain Dialogue Generation with Latent Images
10141: AutoDrop: Learning Dropping Patterns to Regularize Deep Networks
10143: ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
10145: Online Non-Monotone DR-Submodular Maximization
10146: Minimum Robust Multi-Submodular Cover for Fairness
10147: C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
10151: Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
10152: Few-Shot Learning for Multi-Label Intent Detection
10153: Enhanced Regularizers for Attributional Robustness
10160: Deep Innovation Protection: Confronting the Credit Assignment Problem in Training
10161: Does Explainable Artificial Intelligence Improve Human Decision-Making?
10165: Necessarily Optimal One-Sided Matchings
10167: Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum
10169: Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical
10177: Multilingual Transfer Learning for QA Using Translation as Data Augmentation
10180: Top-k Ranking Bayesian Optimization
10185: Improved Mutual Information Estimation
10188: Meta Label Correction for Noisy Label Learning
10192: Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial
10193: Invertible Concept-Based Explanations for CNN Models with Non-Negative Concept
10194: MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification
10195: Sublinear Classical and Quantum Algorithms for General Matrix Games
10197: Segatron: Segment-Aware Transformer for Language Modeling and Understanding
10202: Learning from Crowds by Modeling Common Confusions
10207: GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event
10211: MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
10215: It Takes Two to Empathize: One to Seek and One to Provide
10223: Submodel Decomposition Bounds for Influence Diagrams
10224: Paragraph-Level Commonsense Transformers with Recurrent Memory
10228: Fair Influence Maximization: a Welfare Optimization Approach
10232: Bringing UMAP Closer to the Speed of Light with GPU Acceleration
10233: Scalable Equilibrium Computation in Multi-Agent Influence Games on Networks
10237: Circles Are Like Ellipses, or Ellipses Are Like Circles? Measuring the Degree of Asymmetry of
10238: Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward
10252: Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-toText Transformation
10255: Converse, Focus and Guess - Towards Multi-Document Driven Dialogue
10256: Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
10263: Interpretable Sequence Classification via Discrete Optimization
10266: Defending against Backdoors in Federated Learning with Robust Learning Rate
10273: BERT & Family Eat Word Salad: Experiments with Text Understanding
10277: LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
10284: Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
10288: Visual Boundary Knowledge Translation for Foreground Segmentation
10289: Distribution Matching for Rationalization
10290: Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense
10292: Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural
10297: Reinforced Multi-Teacher Selection for Knowledge Distillation
10300: Efficient Poverty Mapping from High Resolution Remote Sensing Images
10301: Sketch and Customize: A Counterfactual Story Generator
10302: Deep Contextual Clinical Prediction with Reverse Distillation
10304: Exploiting Behavioral Consistence for Universal User Representation
10321: Generating CCG Categories
10322: Hierarchical Relational Inference
10323: Agent Incentives: A Causal Perspective
10328: Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff
10331: Tune-In: Training under Negative Environments with Interference for Attention Networks
10332: OpEvo: An Evolutionary Method for Tensor Operator Optimization
10333: Faster Depth-Adaptive Transformers
10336: DocParser: Hierarchical Document Structure Parsing from Renderings
10338: Adversarial Turing Patterns from Cellular Automata
10339: Expected Eligibility Traces
10340: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
10343: "Listen, Understand and Translate": Triple Supervision Decouples End-to-End Speech-toText Translation
10344: DirectQE: Direct Pretraining for Machine Translation Quality Estimation
10346: Deep Bayesian Quadrature Policy Optimization

Special Track on AI for Social Impact

843: Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of
1058: Learning Augmented Methods for Matching: Improving Invasive Species Management and
1081: Project RISE: Recognizing Industrial Smoke Emissions
1438: Fair and Interpretable Algorithmic Hiring Using Evolutionary Many Objective Optimization
2361: Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote
2462: We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
2820: Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor
3032: Forecasting Reservoir Inflow via Recurrent Neural ODEs
3105: Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra
3133: Land Deformation Prediction via Slope-Aware Graph Neural Networks
3631: Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
3750: Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
3785: Intelligent Recommendations for Citizen Science
3849: Graph Learning for Inverse Landscape Genetics
4304: Predicting Forest Fire Using Remote Sensing Data and Machine Learning
4906: Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
5196: Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction
5504: Detection and Prediction of Nutrient Deficiency Stress Using Longitudinal Aerial Imagery
5972: HOT-VAE: Learning High-Order Label Correlation for Multi-LabelClassification via AttentionBased Variational Autoencoders
6126: Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing
6172: Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
6289: Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
6513: Evidence Aware Neural Pornographic Text Identification for Child Protection
6699: A Universal 2-State n-Action Adaptive Management Solver
6902: Fairness in Influence Maximization through Randomization
7256: K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management
7467: Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches
7578: Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
8076: Mitigating Political Bias in Language Models through Reinforced Calibration
8315: RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery
8682: Predicting Flashover Occurrence Using Surrogate Temperature Data
8710: Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual
8731: Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of
8774: Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud
8961: Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing
8975: Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
9334: Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
9345: Real-Time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous
9362: Court Opinion Generation from Case Fact Description with Legal Basis
9414: HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection