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20222025
most citedLLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks

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cs.LG2022

Models Out of Line: A Fourier Lens on Distribution Shift Robustness

Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer +2

Improving the accuracy of deep neural networks (DNNs) on out-of-distribution (OOD) data is critical to an acceptance of deep learning (DL) in real world applications. It has been o…