counterfactual augmentation

C2L: Causally Contrastive Learning for Robust Text Classification AAAI 2022 Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022 Learning from Counterfactual Links for Link Prediction ICML 2022 MABEL: Attenuating Gender Bias using Textual Entailment Data EMNLP 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Explaining the Efficacy of Counterfactually Augmented Data ICLR 2021 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021 Sustainable Modular Debiasing of Language Models EMNLP 2021 Conditional Response Augmentation for Dialogue Using Knowledge Distillation Interspeech 2020 Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020 Label-Efficient Training for Next Response Selection EMNLP 2020