闲情居|机器学习领域顶会ICML20精选论文分享( 四 )
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values Shangtong Zhang, Bo Liu, Shimon Whiteson
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Rapha?l Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin Vechev
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi, Dinghuai Zhang, Qi Dai, Jingdong Wang, Zhanxing Zhu, Yadong Mu
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu, Zheng Qin
SoftSort: A Differantiable Continuous Relaxation of the argsort Operator Sebastian Prillo, Julian Eisenschlos
Too Relaxed to Be Fair Michael Lohaus, Micha?l Perrot, Ulrike von Luxburg
Lorentz Group Equivariant Neural Network for Particle Physics Alexander Bogatskiy, Brandon Anderson, Jan Offermann, Marwah Roussi, David Miller, Risi Kondor
One-shot Distributed Ridge Regression in High Dimensions Yue Sheng, Edgar Dobriban
Streaming k-Submodular Maximization under Noise subject to Size Constraint Lan N. Nguyen, My T. Thai
Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, Masashi Sugiyama
Task Understanding from Confusing Multi-task Data Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
Cost-effective Interactive Attention Learning with Neural Attention Process Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
Channel Equilibrium Networks for Learning Deep Representation Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer Alexey Drutsa
Topological Autoencoders Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt
An Accelerated DFO Algorithm for Finite-sum Convex Functions Yuwen Chen, Antonio Orvieto, Aurelien Lucchi
The Shapley Taylor Interaction Index Mukund Sundararajan, Kedar Dhamdhere, Ashish Agarwal
Privately detecting changes in unknown distributions Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods Wei Zhang, Thomas Panum, Somesh Jha, Prasad Chalasani, David Page
Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma, Tao Du, Wojciech Matusik
WaveFlow: A Compact Flow-based Model for Raw Audio Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin Elsayed, Prajit Ramachandran, Jon Shlens, Simon Kornblith
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