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06/26/2023
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
In the last year alone, a surge of new benchmarks to measure composition...
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03/06/2023
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design
Machine learning practitioners often end up tunneling on low-level techn...
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12/13/2022
CREPE: Can Vision-Language Foundation Models Reason Compositionally?
A fundamental characteristic common to both human vision and natural lan...
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10/09/2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Modern multi-agent reinforcement learning frameworks rely on centralized...
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01/11/2022
