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06/19/2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Effective machine learning models learn both robust features that direct...
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02/24/2023
Language-Driven Representation Learning for Robotics
Recent work in visual representation learning for robotics demonstrates ...
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02/10/2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Conventional approaches to robustness try to learn a model based on caus...
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10/20/2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
A common approach to transfer learning under distribution shift is to fi...
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10/17/2022
You Only Live Once: Single-Life Reinforcement Learning
Reinforcement learning algorithms are typically designed to learn a perf...
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07/19/2021
Just Train Twice: Improving Group Robustness without Training Group Information
Standard training via empirical risk minimization (ERM) can produce mode...
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03/31/2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
We are motivated by the goal of generalist robots that can complete a wi...
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10/22/2020