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Papers

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2020 ICML
2020 ICML
2020 ICML
Retrieval Augmented Language Model Pre-Training
Kelvin Guu, Kenton Lee, Zora Tung et al.
2020 ICML
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen, Chengtao Li, Hanjun Dai et al.
2020 ICML
Reverse-engineering deep ReLU networks
David Rolnick, Konrad Kording
2020 ICML
Revisiting Fundamentals of Experience Replay
William Fedus, Prajit Ramachandran, Rishabh Agarwal et al.
2020 ICML
Revisiting Spatial Invariance with Low-Rank Local Connectivity
Gamaleldin Elsayed, Prajit Ramachandran, Jonathon Shlens et al.
2020 ICML
2020 ICML
Reward-Free Exploration for Reinforcement Learning
Chi Jin, Akshay Krishnamurthy, Max Simchowitz et al.
2020 ICML
Rigging the Lottery: Making All Tickets Winners
Utku Evci, Trevor Gale, Jacob Menick et al.
2020 ICML
Robust and Stable Black Box Explanations
Himabindu Lakkaraju, Nino Arsov, Osbert Bastani
2020 ICML
Robust Bayesian Classification Using An Optimistic Score Ratio
Viet Anh Nguyen, Nian Si, Jose Blanchet
2020 ICML
2020 ICML
Robustifying Sequential Neural Processes
Jaesik Yoon, Gautam Singh, Sungjin Ahn
2020 ICML
2020 ICML
Robustness to Spurious Correlations via Human Annotations
Megha Srivastava, Tatsunori Hashimoto, Percy Liang
2020 ICML
Robust Outlier Arm Identification
Yinglun Zhu, Sumeet Katariya, Robert Nowak
2020 ICML
Robust Pricing in Dynamic Mechanism Design
Yuan Deng, Sebastien Lahaie, Vahab Mirrokni
2020 ICML
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang, Heng Dong, Victor Lesser et al.
2020 ICML
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang et al.
2020 ICML