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bias_and_variance [2016/05/19 02:30] external edit
bias_and_variance [2018/08/19 13:23]
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 http://​scott.fortmann-roe.com/​docs/​BiasVariance.html http://​scott.fortmann-roe.com/​docs/​BiasVariance.html
 +https://​arxiv.org/​abs/​1808.05326 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
 + we propose Adversarial Filtering (AF), a novel procedure that constructs a de-biased dataset by iteratively training an ensemble of stylistic classifiers,​ and using them to filter the data. To account for the aggressive adversarial filtering, we use state-of-the-art language models to massively oversample a diverse set of potential counterfactuals. Empirical results demonstrate that while humans can solve the resulting inference problems with high accuracy (88%), various competitive models struggle on our task.