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06/16/2023
Neural Priming for Sample-Efficient Adaptation
We propose Neural Priming, a technique for adapting large pretrained mod...
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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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01/11/2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets? We investigat...
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01/10/2023
Neural Radiance Field Codebooks
Compositional representations of the world are a promising step towards ...
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05/03/2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Contrastively trained image-text models such as CLIP, ALIGN, and BASIC h...
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03/04/2020