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10/18/2021
MEMO: Test Time Robustness via Adaptation and Augmentation
While deep neural networks can attain good accuracy on in-distribution t...
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12/14/2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Distribution shifts can cause significant degradation in a broad range o...
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07/06/2020
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift
A fundamental assumption of most machine learning algorithms is that the...
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12/10/2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Robotic reinforcement learning (RL) holds the promise of enabling robots...
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06/19/2019
When to Trust Your Model: Model-Based Policy Optimization
Designing effective model-based reinforcement learning algorithms is dif...
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08/28/2018
