Papers
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat et al.
An image representation based convolutional network for DNA classification
Bojian Yin, Marleen Balvert, Davide Zambrano et al.
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim, Minjung Kim, Gunhee Kim
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir, Amnon Shashua
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Yi Zhou, Zimo Li, Shuangjiu Xiao et al.
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, Dan Alistarh
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr Pong*, Shixiang Gu*, Murtaza Dalal et al.
Learning Parametric Closed-Loop Policies for Markov Potential Games
Sergio Valcarcel Macua, Javier Zazo, Santiago Zazo
Unsupervised Cipher Cracking Using Discrete GANs
Aidan N. Gomez, Sicong Huang, Ivan Zhang et al.
i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold W.M. Smeulders, Edouard Oyallon
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi et al.
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Yoav Levine, David Yakira, Nadav Cohen et al.
Wavelet Pooling for Convolutional Neural Networks
Travis Williams, Robert Li
Memory Architectures in Recurrent Neural Network Language Models
Dani Yogatama, Yishu Miao, Gabor Melis et al.
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu, Caiming Xiong, Richard Socher
Sobolev GAN
Youssef Mroueh, Chun-Liang Li, Tom Sercu et al.
Variational Message Passing with Structured Inference Networks
Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu*, Mohammad Saleh*, Etienne Pot et al.
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel *, Jonas Rauber *, Matthias Bethge
Reinforcement Learning Algorithm Selection
Romain Laroche, Raphael Feraud
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan et al.
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
Justin Fu, Katie Luo, Sergey Levine
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy