Papers
Posterior Attention Models for Sequence to Sequence Learning
Shiv Shankar, Sunita Sarawagi
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner, Sergey Levine, William T. Freeman et al.
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi et al.
SPIGAN: Privileged Adversarial Learning from Simulation
Kuan-Hui Lee, German Ros, Jie Li et al.
Learning sparse relational transition models
Victoria Xia, Zi Wang, Kelsey Allen et al.
Multi-Agent Dual Learning
Yiren Wang, Yingce Xia, Tianyu He et al.
Multiple-Attribute Text Rewriting
Guillaume Lample, Sandeep Subramanian, Eric Smith et al.
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud et al.
Combinatorial Attacks on Binarized Neural Networks
Elias B Khalil, Amrita Gupta, Bistra Dilkina
Cost-Sensitive Robustness against Adversarial Examples
Xiao Zhang, David Evans
Learning to Design RNA
Frederic Runge, Danny Stoll, Stefan Falkner et al.
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel, Emma Brunskill
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu et al.
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
Joshua J. Michalenko, Ameesh Shah, Abhinav Verma et al.
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li, Jiajun Wu, Russ Tedrake et al.
Selfless Sequential Learning
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Tingwu Wang, Yuhao Zhou, Sanja Fidler et al.
Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi, Yijie Guo, Marcin Moczulski et al.
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
Patrick Chen, Si Si, Sanjiv Kumar et al.
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Mikael Henaff, Alfredo Canziani, Yann LeCun
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati et al.
Music Transformer: Generating Music with Long-Term Structure
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit et al.
Learning to Infer and Execute 3D Shape Programs
Yonglong Tian, Andrew Luo, Xingyuan Sun et al.
A Generative Model For Electron Paths
John Bradshaw, Matt J. Kusner, Brooks Paige et al.