19 citations · 53 across the 13 of their papers we have counts for
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cs.LG2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
Parikshit Bansal, Amit Sharma
To address the problem of NLP classifiers learning spurious correlations between training features and target labels, a common approach is to make the model's predictions invariant…
cs.LG2023★ 1 cited
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash +3
Counterfactual data augmentation has recently emerged as a method to mitigate confounding biases in the training data. These biases, such as spurious correlations, arise due to var…