bias mitigation

Systematic Evaluation of Predictive Fairness AACL 2022 Text Style Transfer for Bias Mitigation using Masked Language Modeling NAACL 2022 The Lifecycle of “Facts”: A Survey of Social Bias in Knowledge Graphs AACL 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Understanding Gender Bias in Knowledge Base Embeddings ACL 2022 Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection COLING 2022 A Causal Lens for Controllable Text Generation NeurIPS 2021 Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap EMNLP 2021 Case Study: Deontological Ethics in NLP NAACL 2021 Causal Learning for Socially Responsible AI IJCAI 2021 Challenges in Automated Debiasing for Toxic Language Detection EACL 2021 Challenges in Detoxifying Language Models EMNLP 2021 Constructing a Fair Classifier with Generated Fair Data AAAI 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021 Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding EMNLP 2021 Dictionary-based Debiasing of Pre-trained Word Embeddings EACL 2021 Differentially Private Empirical Risk Minimization under the Fairness Lens NeurIPS 2021 Diverse Adversaries for Mitigating Bias in Training EACL 2021 Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques EMNLP 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 Elastic weight consolidation for better bias inoculation EACL 2021 Ethical and Technological Challenges of Conversational AI Interspeech 2021