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Learning Not to Learn: Training Deep Neural Networks with Biased Data

26 December 2018

Papers citing "Learning Not to Learn: Training Deep Neural Networks with Biased Data"

50 / 130 papers shown

Title
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Alejandro Peña Julian Fierrez Aythami Morales Gonzalo Mancera Miguel Lopez Ruben Tolosana 22 0 0 13 Jun 2025
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models Xinmiao Hu C. Wang Ruihe An ChenYu Shao Xiaojun Ye Sheng Zhou Liangcheng Li MLLM LRM 75 0 0 26 May 2025
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Yicheng Gao Jinkui Hao Bo Zhou 159 0 0 20 Dec 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 268 0 0 10 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 285 2 0 05 Oct 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 171 0 0 31 Aug 2024
Mitigating Bias Using Model-Agnostic Data Attribution Sander De Coninck Wei-Cheng Wang Pieter Simoens 59 2 0 08 May 2024
Where is the Truth? The Risk of Getting Confounded in a Continual World Florian Peter Busch Roshni Kamath Rupert Mitchell Wolfgang Stammer Kristian Kersting Martin Mundt CLL CML 105 4 0 09 Feb 2024
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 129 14 0 08 Oct 2023
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition Maan Qraitem Kate Saenko Bryan A. Plummer 125 4 0 08 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 82 3 0 05 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 110 9 0 31 Jul 2023
Divert More Attention to Vision-Language Object Tracking Mingzhe Guo Zhipeng Zhang Li Jing Haibin Ling Heng Fan VLM 97 6 0 19 Jul 2023
Model Debiasing via Gradient-based Explanation on Representation Jindi Zhang Luning Wang Jane Polak Scowcroft Yongxiang Huang Caleb Chen Cao Lei Chen FaML CML 51 2 0 20 May 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 117 29 0 02 Mar 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 100 38 0 13 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 147 11 0 29 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen CML 77 4 0 10 Jan 2023
Fair Multi-Exit Framework for Facial Attribute Classification Ching-Hao Chiu Hao-Wei Chung Yu-Jen Chen Yiyu Shi Tsung-Yi Ho CVBM 70 4 0 08 Jan 2023
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation Yuhang Zhang Shishun Tian Muxin Liao Zhengyu Zhang Wenbin Zou Chen Xu 103 0 0 29 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 101 32 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 85 2 0 01 Dec 2022
Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity Gnyanesh Bangaru Lalith Bharadwaj Baru Kiran Chakravarthula 53 0 0 14 Nov 2022
PMR: Prototypical Modal Rebalance for Multimodal Learning Yunfeng Fan Wenchao Xu Yining Qi Junxiao Wang Song Guo 74 73 0 14 Nov 2022
Unbiased Supervised Contrastive Learning C. Barbano Benoit Dufumier Enzo Tartaglione Marco Grangetto Pietro Gori FaML SSL 81 31 0 10 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 410 30 0 04 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 74 1 0 02 Nov 2022
Using Language to Extend to Unseen Domains Lisa Dunlap Clara Mohri Devin Guillory Han Zhang Trevor Darrell Joseph E. Gonzalez Aditi Raghunanthan Anja Rohrbach VLM 106 35 0 18 Oct 2022
Self-supervised debiasing using low rank regularization Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 106 4 0 11 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap Mathias Lechner Ramin Hasani Alexander Amini Tsun-Hsuan Wang T. Henzinger Daniela Rus CML OOD 92 7 0 09 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 177 66 0 04 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 169 35 0 30 Sep 2022
Information Removal at the bottleneck in Deep Neural Networks Enzo Tartaglione 86 2 0 30 Sep 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 85 9 0 14 Sep 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 83 10 0 30 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 100 25 0 22 Aug 2022
Neural Network Verification using Residual Reasoning Y. Elboher Elazar Cohen Guy Katz LRM 96 18 0 05 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 97 19 0 26 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jiaqi Zhao 115 57 0 21 Jul 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 83 56 0 20 Jul 2022
Enhancing Fairness of Visual Attribute Predictors Tobias Hanel Nishant Kumar D. Schlesinger Meng Li Erdem Unal Abouzar Eslami Stefan Gumhold 84 3 0 07 Jul 2022
Divert More Attention to Vision-Language Tracking Mingzhe Guo Zhipeng Zhang Heng Fan Li Jing 91 56 0 03 Jul 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 124 57 0 22 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 111 28 0 17 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness Shruthi Gowda Bahram Zonooz Elahe Arani 73 5 0 12 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni Dylan J. Foster Dipendra Kumar Misra A. Krishnamurthy John Langford OffRL 82 25 0 09 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 107 38 0 02 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 105 22 0 31 May 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee Edward Choi Jaegul Choo 118 23 0 29 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 103 28 0 26 May 2022