CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions.

arXiv:2406.12150v2 Announce Type: replace-cross Abstract: Post-hoc attribution is widely used to identify important model inputs, but evaluating whether these attributions identify truly informative features is difficult because real datasets rarely provide re