bias mitigation

Evaluating Debiasing Techniques for Intersectional Biases EMNLP 2021 Evaluating Gender Bias in Hindi-English Machine Translation ACL 2021 Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021 Fair Attribute Classification Through Latent Space De-Biasing CVPR 2021 FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation WACV 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 Fairness and Bias in Online Selection ICML 2021 Fairness-aware Class Imbalanced Learning EMNLP 2021 Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021 Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ACL 2021 Gender Bias in Text: Origin, Taxonomy, and Implications ACL 2021 Grounding Plural Phrases: Countering Evaluation Biases by Individuation NAACL 2021 Guiding Principles for Participatory Design-inspired Natural Language Processing ACL 2021 Hate Speech Detection Based on Sentiment Knowledge Sharing ACL 2021 HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 IRM—when it works and when it doesn't: A test case of natural language inference NeurIPS 2021 Justicia: A Stochastic SAT Approach to Formally Verify Fairness AAAI 2021 Learning Debiased and Disentangled Representations for Semantic Segmentation NeurIPS 2021 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ACL 2021 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ACL 2021 Mitigating Face Recognition Bias via Group Adaptive Classifier CVPR 2021 Mitigating Language-Dependent Ethnic Bias in BERT EMNLP 2021 Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021 Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP 2021