Papers
Representation Degeneration Problem in Training Natural Language Generation Models
Jun Gao, Di He, Xu Tan et al.
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
Sirui Xie, Junning Huang, Lanxin Lei et al.
Latent Convolutional Models
ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky
SNAS: stochastic neural architecture search
Sirui Xie, Hehui Zheng, Chunxiao Liu et al.
Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen, Rong Ge
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman et al.
Stable Opponent Shaping in Differentiable Games
Alistair Letcher, Jakob Foerster, David Balduzzi et al.
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang, Zexue He, Zachary C. Lipton et al.
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
Yuan Yuan, Yueming Lyu, Xi Shen et al.
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli et al.
DeepOBS: A Deep Learning Optimizer Benchmark Suite
Frank Schneider, Lukas Balles, Philipp Hennig
Policy Transfer with Strategy Optimization
Wenhao Yu, C. Karen Liu, Greg Turk
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu et al.
RNNs implicitly implement tensor-product representations
R. Thomas McCoy, Tal Linzen, Ewan Dunbar et al.
Neural network gradient-based learning of black-box function interfaces
Alon Jacovi, Guy Hadash, Einat Kermany et al.
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao et al.
Integer Networks for Data Compression with Latent-Variable Models
Johannes Ballé, Nick Johnston, David Minnen
Kernel RNN Learning (KeRNL)
Christopher Roth, Ingmar Kanitscheider, Ila Fiete
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang, Kunpeng Li, Kai Li et al.
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Emily Dinan, Stephen Roller, Kurt Shuster et al.
Invariant and Equivariant Graph Networks
Haggai Maron, Heli Ben-Hamu, Nadav Shamir et al.
Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets
Learning deep representations by mutual information estimation and maximization
R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon et al.
Information-Directed Exploration for Deep Reinforcement Learning
Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp et al.
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar, Yulia Tsvetkov