Papers
Learning Deep Mean Field Games for Modeling Large Population Behavior
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi et al.
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff et al.
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben et al.
Towards Image Understanding from Deep Compression Without Decoding
Robert Torfason, Fabian Mentzer, Eirikur Agustsson et al.
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni et al.
Residual Connections Encourage Iterative Inference
Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas et al.
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
A Hierarchical Model for Device Placement
Azalia Mirhoseini, Anna Goldie, Hieu Pham et al.
Matrix capsules with EM routing
Geoffrey E Hinton, Sara Sabour, Nicholas Frosst
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, John Duchi
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan
Memory-based Parameter Adaptation
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae et al.
Decision Boundary Analysis of Adversarial Examples
Warren He, Bo Li, Dawn Song
Action-dependent Control Variates for Policy Optimization via Stein Identity
Hao Liu*, Yihao Feng*, Yi Mao et al.
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras, Joan Bruna Estrach
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Shuohang Wang, Mo Yu, Jing Jiang et al.
Activation Maximization Generative Adversarial Nets
Zhiming Zhou, Han Cai, Shu Rong et al.
Certified Defenses against Adversarial Examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
Learning a neural response metric for retinal prosthesis
Nishal P Shah, Sasidhar Madugula, EJ Chichilnisky et al.
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
James Martens, Jimmy Ba, Matt Johnson
Guide Actor-Critic for Continuous Control
Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama
Global Optimality Conditions for Deep Neural Networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen et al.