TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion)

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | AISC

Original Style Transfer A Neural Algorithm of Artistic Style | TDLS Foundational

RecSys 2018 Challenge winner Two-stage Model for Automatic Playlist Continuation at Scale |TDLS

You May Not Need Attention | TDLS Code Review

DDQN Deep Reinforcement Learning with Double Q-learning | TDLS Foundational

AlphaGo Zero Mastering the game of Go without human knowledge | TDLS

TDLS Trending Papers - Transformer XL

TDLS Authors - Prediction of diagnosis on patient health records

TDLS - Tensor Field Networks

TDLS - Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

TDLS Code Review - Attention Is All You Need

TDLS - FT: A Style-Based Generator Architecture for GANs, part2 (results and discussion)

TDLS - FT: A Style-Based Generator Architecture for GANs, part 1 (algorithm review)

TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion)

TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review)

TDLS - Neural Ordinary Differential Equations - part 2 (results & discussion)

TDLS - Neural Ordinary Differential Equations - part 1 (algorithm review)

TDLS Classics - Collaborative Filtering for the Netflix Prize - part 1 (algorithm review)

TDLS Classics - Collaborative Filtering for the Netflix Prize - part 2 (results & discussion)

TDLS - Classics: Learning representations by back-propagating errors (discussions)

TDLS - Classics: Learning representations by back-propagating errors (algorithm)

TDLS: Extracting Biologically Relevant Latent Space from Cancer Transcriptomes w VAEs (discussions)

TDLS: Extracting Biologically Relevant Latent Space from Cancer Transcriptomes w VAEs (algorithm)

TDLS - Classics: Human-level control through deep reinforcement learning (discussions)