Search Results for author: Pratik Ramesh

Found 2 papers, 2 papers with code

FACTS: First Amplify Correlations and Then Slice to Discover Bias

1 code implementation ICCV 2023 Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman

Computer vision datasets frequently contain spurious correlations between task-relevant labels and (easy to learn) latent task-irrelevant attributes (e. g. context).

ZipIt! Merging Models from Different Tasks without Training

1 code implementation4 May 2023 George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman

While this works for models trained on the same task, we find that this fails to account for the differences in models trained on disjoint tasks.

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