Papers
Towards Neural Phrase-based Machine Translation
Po-Sen Huang, Chong Wang, Sitao Huang et al.
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin et al.
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu, Jeff Pool, Song Han et al.
SCAN: Learning Hierarchical Compositional Visual Concepts
Irina Higgins, Nicolas Sonnerat, Loic Matthey et al.
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang, Dehua Cheng, Yan Liu
Adversarial Dropout Regularization
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada et al.
On the Information Bottleneck Theory of Deep Learning
Andrew Michael Saxe, Yamini Bansal, Joel Dapello et al.
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu, Haichao Zhang, Wei Xu
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, Denis Lukovnikov
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theo Lim, J.M. Ritchie et al.
Learn to Pay Attention
Saumya Jetley, Nicholas A. Lord, Namhoon Lee et al.
Neural Sketch Learning for Conditional Program Generation
Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri et al.
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner, Bernhard Nessler, Calvin Seward et al.
HexaConv
Emiel Hoogeboom, Jorn W.T. Peters, Taco S. Cohen et al.
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng, Andrew Gibiansky et al.
A New Method of Region Embedding for Text Classification
chao qiao, bo huang, guocheng niu et al.
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
Dejiao Zhang, Haozhu Wang, Mario Figueiredo et al.
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar, Tim Rocktäschel, Maximilian Igl et al.
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine et al.
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
Hyperparameter optimization: a spectral approach
Elad Hazan, Adam Klivans, Yang Yuan
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov et al.
Noisy Networks For Exploration
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot et al.
Distributed Fine-tuning of Language Models on Private Data
Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya et al.
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik Chaudhari, Stefano Soatto