Papers
Efficient Loss-Based Decoding on Graphs for Extreme Classification
Itay Evron, Edward Moroshko, Koby Crammer
The Effect of Network Width on the Performance of Large-batch Training
Lingjiao Chen, Hongyi Wang, Jinman Zhao et al.
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang, Yining Zhang, Zongpeng Li
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
Zhihao Zheng, Pengyu Hong
Hierarchical Graph Representation Learning with Differentiable Pooling
Zhitao Ying, Jiaxuan You, Christopher Morris et al.
Stochastic Spectral and Conjugate Descent Methods
Dmitry Kovalev, Peter Richtarik, Eduard Gorbunov et al.
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani, Yewen Pu, Armando Solar-Lezama
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang (Shane) Gu, Honglak Lee et al.
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Hajin Shim, Sung Ju Hwang, Eunho Yang
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen et al.
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong, Di He, Xu Tan et al.
Generative Neural Machine Translation
Harshil Shah, David Barber
Recurrent Transformer Networks for Semantic Correspondence
Seungryong Kim, Stephen Lin, SANG RYUL JEON et al.
Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski et al.
Connectionist Temporal Classification with Maximum Entropy Regularization
Hu Liu, Sheng Jin, Changshui Zhang
Kalman Normalization: Normalizing Internal Representations Across Network Layers
Guangrun Wang, jiefeng peng, Ping Luo et al.
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep K Ravikumar et al.
Improved Expressivity Through Dendritic Neural Networks
Xundong Wu, Xiangwen Liu, Wei Li et al.
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo et al.
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
Linfeng Zhang, Jiequn Han, Han Wang et al.
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi et al.
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Mikhail Belkin, Daniel J. Hsu, Partha Mitra
Dynamic Network Model from Partial Observations
Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu et al.