data bia

A Bias-Free Training Paradigm for More General AI-generated Image Detection CVPR 2025 Iterative Counterfactual Data Augmentation AAAI 2025 Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark EMNLP 2025 A Taxonomy of Challenges to Curating Fair Datasets NeurIPS 2024 Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering WACV 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023 Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation ICLR 2023 Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023 Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge ICCV 2023 Face2Exp: Combating Data Biases for Facial Expression Recognition CVPR 2022 Latent Space Explanation by Intervention AAAI 2022 Learning From Arabic Corpora But Not Always From Arabic Speakers: A Case Study of the Arabic Wikipedia Editions EMNLP 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NeurIPS 2022 Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries EACL 2021 Certifying Robustness to Programmable Data Bias in Decision Trees NeurIPS 2021 Constructing a Fair Classifier with Generated Fair Data AAAI 2021 Developing a Benchmark for Reducing Data Bias in Authorship Attribution EMNLP 2021 Improving Model Generalization: A Chinese Named Entity Recognition Case Study ACL 2021 Large Image Datasets: A Pyrrhic Win for Computer Vision? WACV 2021 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 Impact of Politically Biased Data on Hate Speech Classification EMNLP 2020 It’s Not What Machines Can Learn, It’s What We Cannot Teach ICML 2020 A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019 Sequence Effects in Crowdsourced Annotations EMNLP 2017