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https://openreview.net/forum?id=utMOhsgXzB BendVLM: Test-Time Debiasing of Vision-Language Embeddings | OpenReview Vision-language (VL) embedding models have been shown to encode biases present in their training data, such as societal biases that prescribe negative... test time debiasing vision language embeddings https://openreview.net/forum?id=tTdzbnvTno Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance |... The ensemble average of physical properties of molecules is closely related to the distribution of molecular conformations, and sampling such distributions is... molecular structure potential score matching debiasing https://deepai.org/publication/skin-deep-unlearning-artefact-and-instrument-debiasing-in-the-context-of-melanoma-classification Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification |... Sep 20, 2021 - 09/20/21 - Convolutional Neural Networks have demonstrated dermatologist-level performance in the classification of melanoma and other skin l... https://jmir.org/2016/8/e219 Journal of Medical Internet Research - The Importance of Debiasing Social Media Data to Better... journal of medical https://deepai.org/publication/an-adversarial-feature-learning-strategy-for-debiasing-neural-networks An adversarial feature learning strategy for debiasing neural networks | DeepAI Jan 30, 2023 - 01/30/23 - Simplicity bias is the concerning tendency of deep networks to over-depend on simple, weakly predictive features, to the exclusion... learning strategy neural networks adversarial feature debiasing https://edri.org/our-work/if-ai-is-the-problem-is-debiasing-the-solution/?ref=internet.exchangepoint.tech Booklet: If AI is the problem, is debiasing the solution? - European Digital Rights (EDRi) Apr 29, 2025 - The development and deployment of artificial intelligence (AI) in all areas of public life have raised many concerns about the harmful consequences on society,... european digital rights is the https://aclanthology.org/2023.findings-emnlp.270/ Debiasing Multimodal Models via Causal Information Minimization - ACL Anthology Vaidehi Patil, Adyasha Maharana, Mohit Bansal. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. multimodal models debiasing via causal information https://aclanthology.org/2025.trustnlp-main.13/ BiasEdit: Debiasing Stereotyped Language Models via Model Editing - ACL Anthology Xin Xu, Wei Xu, Ningyu Zhang, Julian McAuley. Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025). 2025. language models debiasing via editing acl https://drive.google.com/file/d/1viOf4JAfo6Dixli2h-wIOnolbjJbHGQb/view?usp=sharing Hafenbrack Kinias Barsade 2014 Debiasing the mind through meditation.pdf - Google Drive the mind https://deepai.org/publication/adversarial-learning-for-debiasing-knowledge-graph-embeddings Adversarial Learning for Debiasing Knowledge Graph Embeddings | DeepAI Jun 29, 2020 - 06/29/20 - Knowledge Graphs (KG) are gaining increasing attention in both academia and industry. Despite their diverse benefits, recent resea... knowledge graph adversarial learning debiasing embeddings https://openreview.net/forum?id=mAxs9qiXbo&referrer=%5Bthe%20profile%20of%20Vaidehi%20Patil%5D(%2Fprofile%3Fid%3D~Vaidehi_Patil1) Debiasing Multimodal Models via Causal Information Minimization | OpenReview Most existing debiasing methods for multimodal models, including causal intervention and inference methods, utilize approximate heuristics to represent the... multimodal models debiasing via causal information https://www.amazon.science/publications/debiasing-neural-retrieval-via-in-batch-balancing-regularization Debiasing neural retrieval via in-batch balancing regularization - Amazon Science People frequently interact with information retrieval (IR) systems, however, IR models exhibit biases and discrimination towards various demographics. The... debiasing neural retrieval via batch https://deepai.org/publication/signal-is-harder-to-learn-than-bias-debiasing-with-focal-loss Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss | DeepAI May 31, 2023 - 05/31/23 - Spurious correlations are everywhere. While humans often do not perceive them, neural networks are notorious for learning unwanted... to learn https://huggingface.co/papers/2303.15413 Paper page - Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation Join the discussion on this paper page https://openreview.net/forum?id=5X7RznVjF0&referrer=%5Bthe%20profile%20of%20Qingjie%20Liu%5D(%2Fprofile%3Fid%3D~Qingjie_Liu2) DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection | OpenReview https://aclanthology.org/2024.findings-acl.109/ Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and... Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson. Findings of the Association for... through the https://ideas.repec.org/p/lau/crdeep/20.03.html Debiasing preferences over redistribution: An experiment Downloadable! We study the manipulation of preferences over redistribution. Previous work showed that preferences over redistribution are malleable by the... debiasing preferences redistribution experiment https://aclanthology.org/2024.findings-acl.208/ DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference - ACL... Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu. Findings of the Association for Computational Linguistics: ACL 2024. 2024. sentiment analysis https://openreview.net/forum?id=YXewbZ8FgU Let the Rule Speak: Enhancing In-context Learning Debiasing with Interpretability | OpenReview In-context learning, which allows large language models to perform diverse tasks with a few demonstrations, is found to have imbalanced per-class prediction... the rule in context https://pmc.ncbi.nlm.nih.gov/articles/PMC13006824/ Sample-Specific Debiasing for Better Image-Text Models - PMC Self-supervised representation learning on image-text data facilitates crucial medical applications, such as image classification, visual grounding, and... for better image text sample specific debiasing https://www.amazon.science/publications/discovering-bias-in-latent-space-an-unsupervised-debiasing-approach Discovering bias in latent space: An unsupervised debiasing approach - Amazon Science The question-answering (QA) capabilities of foundation models are highly sensitive to prompt variations, rendering their performance susceptible to... latent space discovering bias https://openreview.net/forum?id=4azYdmhHCG Uncertainty Calibration for Ensemble-Based Debiasing Methods | OpenReview A proposal of a new ensemble-based debiasing framework, based on the theoretical analysis of the bias-only model uncertainty calibration ensemble based debiasing https://deepai.org/publication/power-of-explanations-towards-automatic-debiasing-in-hate-speech-detection Power of Explanations: Towards automatic debiasing in hate speech detection | DeepAI Sep 7, 2022 - 09/07/22 - Hate speech detection is a common downstream application of natural language processing (NLP) in the real world. In spite of the i... hate speech detection power explanations towards automatic https://arxiv.org/abs/2209.14107v1 [2209.14107v1] Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Abstract page for arXiv paper 2209.14107v1: Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure graph neural networks debiasing https://openreview.net/forum?id=MH7E7AME1r&referrer=%5Bthe%20profile%20of%20Lie%20He%5D(%2Fprofile%3Fid%3D~Lie_He1) Debiasing Conditional Stochastic Optimization | OpenReview In this paper, we study the conditional stochastic optimization (CSO) problem which covers a variety of applications including portfolio selection,... stochastic optimization debiasing conditional openreview https://www.preprints.org/manuscript/202406.0050 Representation Debiasing of Generated Data Involving Domain Experts[v1] | Preprints.org Biases in Artificial Intelligence (AI) or Machine Learning (ML) systems due to skewed datasets problematise the application of prediction models in practice.... domain experts representation debiasing generated data https://www.frontiersin.org/journals/behavioral-economics/articles/10.3389/frbhe.2024.1345875/full Frontiers | Information and context matter: debiasing the disposition effect with lasting impact The disposition effect is one of the most prominent and widely studied behavioral biases observed among investors. It describes the tendency to close out win... https://deepai.org/publication/debiasing-deep-chest-x-ray-classifiers-using-intra-and-post-processing-methods Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods | DeepAI Jul 26, 2022 - 07/26/22 - Deep neural networks for image-based screening and computer-aided diagnosis have achieved expert-level performance on various medi... https://github.com/yhZhai/SOAR GitHub - yhZhai/SOAR: [ICCV 2023] Official implementation of paper "SOAR: Scene-debiasing Open-set... [ICCV 2023] Official implementation of paper "SOAR: Scene-debiasing Open-set Action Recognition". - yhZhai/SOAR https://openreview.net/forum?id=SoEu2uM4FC Selective Test-Time Debiasing for CLIP via Reward Gating | OpenReview Vision language models (VLMs) demonstrate strong zero-shot performance, but often perpetuate social stereotypes in person-centric queries, yielding skewed... test time selective debiasing clip via https://aclanthology.org/2026.findings-eacl.234/ Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought - ACL Anthology Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia. Findings of the Association for Computational Linguistics: EACL... https://www.wikidata.org/wiki/Q38546889 Misinformation and Its Correction: Continued Influence and Successful Debiasing - Wikidata scientific article published on December 2012 misinformation correction continued influence successful https://www.biometricupdate.com/202110/promise-of-knowledge-distillation-for-debiasing-biometric-pad-discussed-in-eab-event Promise of knowledge distillation for debiasing biometric PAD discussed in EAB event | Biometric... Oct 6, 2021 - The technique for training machine learning models known as knowledge distillation is showing promise for mitigating bias in biometric anti-spoofing systems. knowledge distillation https://aclanthology.org/2022.naacl-main.188/ How Gender Debiasing Affects Internal Model Representations, and Why It Matters - ACL Anthology Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov. Proceedings of the 2022 Conference of the North American Chapter of the Association for... https://arxiv.org/abs/2507.10124 [2507.10124] Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human... Abstract page for arXiv paper 2507.10124: Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making https://deepai.org/publication/a-prompt-array-keeps-the-bias-away-debiasing-vision-language-models-with-adversarial-learning A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning |... Mar 22, 2022 - 03/22/22 - Vision-language models can encode societal biases and stereotypes, but there are challenges to measuring and mitigating these harm... https://www-kindlee-co.customer.mixo.io/ Kindlee | Ethical AI debiasing tools for fair AI & ML models Kindlee develops debiasing tools for AI high-risk use cases, as determined by the EU AI Act, making inclusion profitable for all. ethical ai debiasing tools fair ml https://deepai.org/publication/balancing-the-picture-debiasing-vision-language-datasets-with-synthetic-contrast-sets Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets | DeepAI May 24, 2023 - 05/24/23 - Vision-language models are growing in popularity and public visibility to generate, edit, and caption images at scale; but their o... the picture https://deepai.org/publication/detecting-melanoma-fairly-skin-tone-detection-and-debiasing-for-skin-lesion-classification Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification | DeepAI Feb 6, 2022 - 02/06/22 - Convolutional Neural Networks have demonstrated human-level performance in the classification of melanoma and other skin lesions, ... skin tone https://www.amazon.science/publications/masking-latent-gender-knowledge-for-debiasing-image-captioning Masking latent gender knowledge for debiasing image captioning - Amazon Science Large language models incorporate world knowledge and present breakthrough performances on zero-shot learning. However, these models capture societal bias... image captioning masking latent gender knowledge https://www.jmir.org/2016/8/e219/ Journal of Medical Internet Research - The Importance of Debiasing Social Media Data to Better... journal of medical https://www.amazon.science/publications/padclip-pseudo-labeling-with-adaptive-debiasing-in-clip-for-unsupervised-domain-adaptation PADCLIP: Pseudo-labeling with adaptive debiasing in CLIP for unsupervised domain adaptation -... Traditional Unsupervised Domain Adaptation (UDA) leverages the labeled source domain to tackle the learning tasks on the unlabeled target domain. It can be... https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/debiasing-the-corporation-an-interview-with-nobel-laureate-richard-thaler Debiasing the corporation: An interview with Nobel laureate Richard Thaler | McKinsey The University of Chicago professor explains how executives can battle back against biases that can affect their decision making. an interview with the corporation nobel laureate debiasing https://www.econstor.eu/handle/10419/299407 EconStor: Debiasing policymakers: The role of behavioral economics training EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. the role of behavioral economics debiasing policymakers training