Papers
Multi-Agent Adversarial Inverse Reinforcement Learning
Lantao Yu, Jiaming Song, Stefano Ermon
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, Jiangchao Yao et al.
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen, Tian Gao et al.
Learning Neurosymbolic Generative Models via Program Synthesis
Halley Young, Osbert Bastani, Mayur Naik
Position-aware Graph Neural Networks
Jiaxuan You, Rex Ying, Jure Leskovec
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You, Ximei Wang, Mingsheng Long et al.
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon, Jun Seo, Jaekyun Moon
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Eric Christiansen et al.
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Ramchandran Kannan, Peter Bartlett
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin, Yudong Chen, Ramchandran Kannan et al.
Understanding Geometry of Encoder-Decoder CNNs
Jong Chul Ye, Woon Kyoung Sung
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering
Taisuke Yasuda, David Woodruff, Manuel Fernandez
Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei, Junzhou Huang et al.
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
Quanming Yao, James Tin-Yau Kwok, Bo Han
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi et al.
SWALP : Stochastic Weight Averaging in Low Precision Training
Guandao Yang, Tianyi Zhang, Polina Kirichenko et al.
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
Zhaohui Yang, Yunhe Wang, Chuanjian Liu et al.
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin Yang, Mengdi Wang
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
Supervised Hierarchical Clustering with Exponential Linkage
Nishant Yadav, Ari Kobren, Nicholas Monath et al.
Variational Russian Roulette for Deep Bayesian Nonparametrics
Kai Xu, Akash Srivastava, Charles Sutton
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu, Ellis Ratner, Anca Dragan et al.