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09/08/2023
Zero-Shot Robustification of Zero-Shot Models With Foundation Models
Zero-shot inference is a powerful paradigm that enables the use of large...
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07/23/2023
Geometry-Aware Adaptation for Pretrained Models
Machine learning models – including prominent zero-shot models – are oft...
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03/30/2023
Mitigating Source Bias for Fairer Weak Supervision
Weak supervision overcomes the label bottleneck, enabling efficient deve...
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08/30/2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Weak supervision (WS) is a powerful method to build labeled datasets for...
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03/24/2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Foundation models offer an exciting new paradigm for constructing models...
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06/03/2021
