1.3k citations · 2.9k across the 32 of their papers we have counts for
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cs.CV2021★ 2 cited
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
Enoch Tetteh, Joseph Viviano, Yoshua Bengio +2
Learning models that generalize under different distribution shifts in medical imaging has been a long-standing research challenge. There have been several proposals for efficient…
cs.LG2021★ 23 cited
Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco, Jack Koch, Lee Sharkey +3
We study goal misgeneralization, a type of out-of-distribution generalization failure in reinforcement learning (RL). Goal misgeneralization failures occur when an RL agent retains…