Fairness

MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Men Also Do Laundry: Multi-Attribute Bias Amplification ICML 2023 MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning ACL 2023 Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Mining bias-target Alignment from Voronoi Cells ICCV 2023 Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions? WACV 2023 Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP EACL 2023 Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023 Mitigating Bias: Enhancing Image Classification by Improving Model Explanations ACML 2023 Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023 Mitigating Framing Bias with Polarity Minimization Loss EMNLP 2023 Mitigating Label Biases for In-context Learning ACL 2023 Mitigating Source Bias for Fairer Weak Supervision NeurIPS 2023 Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning ICML 2023 Mitigating Test-Time Bias for Fair Image Retrieval NeurIPS 2023 MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition AAAI 2023 MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023 Model-Agnostic Bias Measurement in Link Prediction EACL 2023 Model-Agnostic Gender Debiased Image Captioning CVPR 2023 Model Shapley: Equitable Model Valuation with Black-box Access NeurIPS 2023 Model Transferability with Responsive Decision Subjects ICML 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 Moral Machine or Tyranny of the Majority? AAAI 2023 More Knowledge, Less Bias: Unbiasing Scene Graph Generation With Explicit Ontological Adjustment WACV 2023