classifier bia

Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification ACL 2025 CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning CVPR 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023 Algorithmic Fairness Verification with Graphical Models AAAI 2022 Hyperspherical Consistency Regularization CVPR 2022 Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022 Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation CVPR 2022 Domain Adaptation With Auxiliary Target Domain-Oriented Classifier CVPR 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 Equalized odds postprocessing under imperfect group information AISTATS 2020 Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NeurIPS 2020 Characterizing Bias in Classifiers using Generative Models NeurIPS 2019