tl;dr

Index

Batch Normalization

Like

• How Does Batch Normalization Help Optimization?

Gradient descent

• Gradient Descent Finds Global Minima of Deep Neural Networks

Multiple Instance Learning

Survey

• Multiple Instance Learning: A Survey of Problem Characteristics and Applications

Like

• Attention-based Deep Multiple Instance Learning

Causal Learning

Causal InfoGAN

• Learning Plannable Representations with Causal InfoGAN

Predict Future Learning

DDPAE

• Learning to Decompose and Disentangle Representations for Video Prediction

Adversarial Training

Generative Adversarial Networks

Info GAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Survey

• The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Auto-Encoder

VAE

• Auto-Encoding Variational Bayes
• Tutorial on Variational Autoencoders

Meta Learning

• Bayesian Model-Agnostic Meta-Learning

Semantic Segmentation

• U-NET