BiaSwap: Removing dataset bias with bias-tailored swapping augmentation

23 August 2021

Papers citing "BiaSwap: Removing dataset bias with bias-tailored swapping augmentation"

50 / 60 papers shown

Title
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 29 0 0 25 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 71 0 0 12 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement Chenrui Ma Rongchang Zhao Xi Xiao Hongyang Xie Tianyang Wang X. Wang H. M. Zhang Yanning Shen 53 1 0 11 Mar 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranni Vito Paolo Pastore Roberto Di Via Enzo Tartaglione Francesca Odone Vittorio Murino DiffM 93 0 0 13 Feb 2025
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models Donggeun Ko Dongjun Lee Namjun Park Wonkyeong Shim Jaekwang Kim DiffM 63 0 0 25 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 26 1 0 04 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi H. Najjaran 30 0 0 01 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 33 0 0 29 Oct 2024
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity Teerath Kumar Alessandra Mileo Malika Bendechache 24 0 0 29 Oct 2024
CosFairNet:A Parameter-Space based Approach for Bias Free Learning Rajeev Ranjan Dwivedi Priyadarshini Kumari Vinod K Kurmi 14 0 0 19 Oct 2024
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation Teerath Kumar Alessandra Mileo Malika Bendechache CVBM 16 0 0 17 Oct 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization Nayeong Kim Juwon Kang Sungsoo Ahn Jungseul Ok Suha Kwak 24 0 0 05 Sep 2024
Say My Name: a Model's Bias Discovery Framework Massimiliano Ciranni Luca Molinaro C. Barbano A. Fiandrotti Vittorio Murino Vito Paolo Pastore Enzo Tartaglione 25 3 0 18 Aug 2024
Model Debiasing by Learnable Data Augmentation Pietro Morerio R. Ragonesi Vittorio Murino 27 0 0 09 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Naresh Boddeti 29 4 0 05 Aug 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park Chaeyeon Chung Juyoung Lee Jaegul Choo 27 2 0 30 Apr 2024
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath Anjan Dutta 31 2 1 28 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang P. Turaga Theodore P. Pavlic CML 19 0 0 21 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 25 8 0 05 Mar 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation Fahimeh Hosseini Noohdani Parsa Hosseini Aryan Yazdan Parast Hamidreza Yaghoubi Araghi M. Baghshah CoGe OOD 26 6 0 29 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin Yan Zhang A. Baratin Francesco Locatello Irina Rish Dianbo Liu Kenji Kawaguchi 44 6 0 20 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective Kien Do D. Nguyen Hung Le T. Le Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 17 0 0 05 Feb 2024
Common-Sense Bias Modeling for Classification Tasks Miao Zhang Zee fryer Ben Colman Ali Shahriyari Gaurav Bharaj 16 0 0 24 Jan 2024
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council Luyang Luo Xin Huang Minghao Wang Zhuoyue Wan Hao Chen 8 2 0 22 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 28 0 0 04 Jan 2024
Weakly Supervised Open-Vocabulary Object Detection Jianghang Lin Yunhang Shen Bingquan Wang Shaohui Lin Ke Li Liujuan Cao WSOD 20 6 0 19 Dec 2023
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting Piyush Arora Pratik Mazumder 11 1 0 13 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts Timo Freiesleben NAI 9 1 0 08 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training Jiaxu Zhao Lu Yin Shiwei Liu Meng Fang Mykola Pechenizkiy 23 2 0 05 Dec 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 12 6 0 26 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 12 1 0 13 Nov 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo-wen Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 21 0 0 03 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 25 36 0 15 Sep 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts Jiaxuan Li D. Vo Hideki Nakayama 19 3 0 19 Aug 2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss Moritz Vandenhirtz Laura Manduchi Ricards Marcinkevics Julia E. Vogt 10 1 0 31 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 19 4 0 23 May 2023
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition Varsha Suresh Desmond C. Ong FaML CVBM 37 4 0 08 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 8 1 0 22 Feb 2023
Fairness-aware Vision Transformer via Debiased Self-Attention Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 64 8 0 31 Jan 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 30 17 0 30 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Liming Luke Chen CML 19 4 0 10 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 26 68 0 09 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 15 29 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 19 2 0 01 Dec 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 316 21 0 04 Nov 2022
Self-supervised debiasing using low rank regularization Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 21 3 0 11 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 30 13 0 11 Oct 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 25 49 0 20 Jul 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang Sungsoo Ahn Jaesik Park Suha Kwak CML 12 52 0 22 Jun 2022
Learning Fair Representation via Distributional Contrastive Disentanglement Changdae Oh Heeji Won Junhyuk So Taero Kim Yewon Kim Hosik Choi Kyungwoo Song FaML CoGe CML DRL 8 39 0 17 Jun 2022