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03/16/2023
Reclaiming the Digital Commons: A Public Data Trust for Training Data
Democratization of AI means not only that people can freely use AI, but ...
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02/20/2023
Harms from Increasingly Agentic Algorithmic Systems
Research in Fairness, Accountability, Transparency, and Ethics (FATE) ha...
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09/20/2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Modern machine learning research relies on relatively few carefully cura...
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03/15/2022
Evaluating the Text-to-SQL Capabilities of Large Language Models
We perform an empirical evaluation of Text-to-SQL capabilities of the Co...
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02/22/2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
We present Myriad, a testbed written in JAX for learning and planning in...
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06/09/2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Data efficiency is a key challenge for deep reinforcement learning. We a...
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10/22/2020