bias mitigation

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 On Evaluating and Mitigating Gender Biases in Multilingual Settings ACL 2023 Parameter-efficient Modularised Bias Mitigation via AdapterFusion EACL 2023 Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts ICCV 2023 PEFTDebias : Capturing debiasing information using PEFTs EMNLP 2023 PREADD: Prefix-Adaptive Decoding for Controlled Text Generation ACL 2023 Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition NeurIPS 2023 Searching for Fairer Machine Learning Ensembles AutoML 2023 Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023 SOAR: Scene-debiasing Open-set Action Recognition ICCV 2023 Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model ACL 2023 Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation EMNLP 2023 Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction ACL 2023 Towards Gender Fairness for Mental Health Prediction IJCAI 2023 Uncovering and Categorizing Social Biases in Text-to-SQL ACL 2023 Unlearning Bias in Language Models by Partitioning Gradients ACL 2023 User-Centric Democratization towards Social Value Aligned Medical AI Services IJCAI 2023 Using In-Context Learning to Improve Dialogue Safety EMNLP 2023 Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 A Conservative Approach for Unbiased Learning on Unknown Biases CVPR 2022 Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System EMNLP 2022 Anatomizing Bias in Facial Analysis AAAI 2022 An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models ACL 2022 An Investigation of Critical Issues in Bias Mitigation Techniques WACV 2022