Robust Features Transfer
Keith and Hadi discuss the concept of non-robust features in transfer learning tasks, highlighting how seemingly unrelated tasks may share common features. They delve into recent research showing correlations between different datasets and the potential for improvement in model performance through the transfer of non-robust features.In this clip
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Machine Learning Street Talk (MLST)
#52 - Unadversarial Examples (Hadi Salman, MIT)
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