In this paper, we propose a method that can automatically detect and ignore these kinds of dataset-specific patterns, which we call dataset biases. Our method ...
Nov 7, 2020 · In this paper, we propose a method that can automatically detect and ignore these kinds of dataset-specific patterns, which we call dataset ...
Nov 16, 2020 · In this paper, we propose a method that can automatically detect and ig- nore these kinds of dataset-specific patterns, which we call dataset ...
... In recent years, there have been many related efforts to mitigate the effects of these hidden dataset biases through improved dataset creation and ...
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. C. Clark, M. Yatskar, and L. Zettlemoyer. EMNLP (Findings), volume EMNLP 2020 of ...
This repo contains the code for our paper "Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles" In particular, it contains code to train ...
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. C Clark, M Yatskar, L Zettlemoyer. arXiv preprint arXiv:2011.03856, 2020. 59, 2020.
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles ... Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
In this case, we can build an unbiased model by ensembling it with the bias-only model in order to disincentive it from learning bias. Finally, we generalize ...
Missing: Mixed Capacity Ensembles.
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles [Paper][Bib] Christopher Clark, Mark Yatskar, Luke Zettlemoyer Findings of Empirical ...