Adversarial Filters of Dataset Biases

ICML 2020 Ronan Le BrasSwabha SwayamdiptaChandra BhagavatulaRowan ZellersMatthew E. PetersAshish SabharwalYejin Choi

Large neural models have demonstrated human-level performance on language and vision benchmarks, while their performance degrades considerably on adversarial or out-of-distribution samples. This raises the question of whether these models have learned to solve a dataset rather than the underlying task by overfitting to spurious dataset biases... (read more)

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