Skip to content
conftrace_

representation bia

21 papers

Papers

Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Effective Disjoint Representational Learning for Anatomical Segmentation MIDL 2025 Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025 Tokenization and Representation Biases in Multilingual Models on Dialectal NLP Tasks EMNLP 2025 Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks CVPR 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 Gender Identity in Pretrained Language Models: An Inclusive Approach to Data Creation and Probing EMNLP 2024 Pantypes: Diverse Representatives for Self-Explainable Models AAAI 2024 Representation Surgery for Multi-Task Model Merging ICML 2024 Eliminating Domain Bias for Federated Learning in Representation Space NeurIPS 2023 Enhancing Continual Relation Extraction via Classifier Decomposition ACL 2023 ‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion EMNLP 2023 Representation biases in sentence transformers EACL 2023 Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models ACL 2023 Fairness with Adaptive Weights ICML 2022 On Measures of Biases and Harms in NLP AACL 2022 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 Gender and Representation Bias in GPT-3 Generated Stories NAACL 2021 Mitigating Gender Bias in Natural Language Processing: Literature Review ACL 2019 REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019