今日のアブストラクトのまとめ記事です.
1 日 1 回 (努力目標) 論文の Abstract を DeepL 翻訳の力を借りて読んでいきます.
まとめ
0 日目 : [Google 翻訳] [Abstract 以外の翻訳あり]
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
1 週目
1 日目 : [Google 翻訳]
Deep Gamblers: Learning to Abstain with Portfolio Theory
2 日目 : [Google 翻訳]
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
3 日目 : [Google 翻訳]
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
4 日目 : [Google 翻訳]
Deep Residual Learning for Image Recognition
5 日目 : [Google 翻訳]
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
6 日目 : [Google 翻訳]
Sequence to Sequence Learning with Neural Networks
7 日目 : [Google 翻訳]
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
2 週目
8 日目 : [Google 翻訳]
Representation Learning: A Review and New Perspectives
9 日目 : [Google 翻訳]
Selective Classification for Deep Neural Networks
10 日目 : [DeepL 翻訳]
Adam: A Method for Stochastic Optimization
11 日目 : [DeepL 翻訳]
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
12 日目 : [DeepL 翻訳]
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
13 日目 : [DeepL 翻訳]
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
14 日目 : [DeepL 翻訳]
Attention Is All You Need
3 週目
15 日目 : [DeepL 翻訳]
The Early Phase of Neural Network Training
16 日目 : [DeepL 翻訳][#]
Creating High Resolution Images with a Latent Adversarial Generator
17 日目 : [DeepL 翻訳]
NLNL: Negative Learning for Noisy Labels
18 日目 : [DeepL 翻訳]
The large learning rate phase of deep learning: the catapult mechanism
19 日目 : [DeepL 翻訳]
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
20 日目 : [DeepL 翻訳]
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
21 日目 : [DeepL 翻訳]
[Spectral Normalization for Generative Adversarial Networks]
(https://qiita.com/tomato_/items/f90830107515a0fc14d9)
4 週目
22 日目 : [DeepL 翻訳]
[Squeeze-and-Excitation Networks]
(https://qiita.com/tomato_/items/d6e466526691d91f34a0)
23 日目 : [DeepL 翻訳]
[Deep Double Descent: Where Bigger Models and More Data Hurt][*]
(https://qiita.com/tomato_/items/1d6496a20b460b0853f2)
24 日目 : [DeepL 翻訳]
[MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications]
(https://qiita.com/tomato_/items/29059898397138b01bdb)
25 日目 : [DeepL 翻訳]
[Visualizing and Understanding Convolutional Networks]
(https://qiita.com/tomato_/items/943fea45d4b4762defc5)
26 日目 : [DeepL 翻訳]
[U-Net: Convolutional Networks for Biomedical Image Segmentation]
(https://qiita.com/tomato_/items/4a10f6d6e028dc15d0c6)
27 日目 : [DeepL 翻訳]
[Image-to-Image Translation with Conditional Adversarial Networks]
(https://qiita.com/tomato_/items/b166a105f1bc360adddb)
28 日目 : [DeepL 翻訳]
[Designing Network Design Spaces]
(https://qiita.com/tomato_/items/f51df30130d6455d655a)
5 週目
29 日目 : [DeepL 翻訳]
[Memory Networks]
(https://qiita.com/tomato_/items/e4287ae54fa257da178f)
30 日目 : [DeepL 翻訳]
[Neural Turing Machines]
(https://qiita.com/tomato_/items/227f124503fdeeda4d55)
31 日目 : [DeepL 翻訳]
[End-To-End Memory Networks]
(https://qiita.com/tomato_/items/586439e807511b1cfdc4)
32 日目 : [DeepL 翻訳]
A Metric Learning Reality Check
33 日目 : [DeepL 翻訳]
Distilling the Knowledge in a Neural Network
34 日目 : [DeepL 翻訳]
Explaining and Harnessing Adversarial Examples
35 日目 : [DeepL 翻訳]
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
6 週目
36 日目 : [DeepL 翻訳]
Understanding Batch Normalization
37 日目 : [DeepL 翻訳]
Dataset Distillation