Fair Feature Distillation for Visual Recognition

27 May 2021

Papers citing "Fair Feature Distillation for Visual Recognition"

47 / 47 papers shown

Title
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi H. Najjaran 35 0 0 01 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? Zeliang Zhang Xin Liang Mingqian Feng Susan Liang Chenliang Xu 39 1 0 14 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 34 1 0 02 Oct 2024
How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition Pedro C. Neto Ivona Colakovic Sašo Karakatič Ana F. Sequeira 33 0 0 30 Aug 2024
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation Md Fahim Sikder R. Ramachandranpillai Daniel de Leng Fredrik Heintz 40 2 0 20 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 40 4 0 05 Aug 2024
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis Anshu Pundhir Balasubramanian Raman Pravendra Singh 37 0 0 16 May 2024
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis Qingpeng Kong Ching-Hao Chiu Dewen Zeng Yu-Jen Chen Tsung-Yi Ho Jingtong Hu Yiyu Shi 54 0 0 14 May 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Naresh Boddeti VLM 44 11 0 22 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 45 1 0 14 Mar 2024
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space Hao-Wei Chung Ching-Hao Chiu Yu-Jen Chen Yiyu Shi Tsung-Yi Ho FaML 34 0 0 20 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Achieve Fairness without Demographics for Dermatological Disease Diagnosis Ching-Hao Chiu Yu-Jen Chen Yawen Wu Yiyu Shi Tsung-Yi Ho 38 4 0 16 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 21 2 0 08 Jan 2024
StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation Shiu-hong Kao Jierun Chen S.-H. Gary Chan 27 0 0 20 Dec 2023
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection Jiayang Li Xuan Feng Tianlong Gu Liang Chang 21 2 0 02 Dec 2023
LumiNet: The Bright Side of Perceptual Knowledge Distillation Md. Ismail Hossain M. M. L. Elahi Sameera Ramasinghe A. Cheraghian Fuad Rahman Nabeel Mohammed Shafin Rahman 31 1 0 05 Oct 2023
Boosting Residual Networks with Group Knowledge Shengji Tang Peng Ye Baopu Li Wei Lin Tao Chen Tong He Chong Yu Wanli Ouyang 46 5 0 26 Aug 2023
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features Yi Zhang Jitao Sang Junyan Wang D. Jiang Yaowei Wang 21 5 0 13 Aug 2023
A Multidimensional Analysis of Social Biases in Vision Transformers Jannik Brinkmann Paul Swoboda Christian Bartelt 22 6 0 03 Aug 2023
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis Ching-Hao Chiu Hao-Wei Chung Yu-Jen Chen Yi Shi Tsung-Yi Ho 38 10 0 26 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 26 9 0 04 Jun 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 52 2 0 31 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics Leonardo Iurada S. Bucci Timothy M. Hospedales Tatiana Tommasi 27 0 0 25 Mar 2023
Continual Learning in the Presence of Spurious Correlation Donggyu Lee Sangwon Jung Taesup Moon CLL 22 2 0 21 Mar 2023
Semantic Scene Completion with Cleaner Self Fengyun Wang Dong Zhang Hanwang Zhang Jinhui Tang Qianru Sun 31 12 0 17 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 25 1 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 6 18 0 01 Mar 2023
Fairness-aware Vision Transformer via Debiased Self-Attention Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 69 8 0 31 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 36 35 0 27 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 8 4 0 08 Jan 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 42 11 0 10 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 23 1 0 02 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 46 37 0 19 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 18 0 0 09 Oct 2022
Enhancing Fairness of Visual Attribute Predictors Tobias Hanel Nishant Kumar D. Schlesinger Meng Li Erdem Unal Abouzar Eslami Stefan Gumhold 27 2 0 07 Jul 2022
CoupleFace: Relation Matters for Face Recognition Distillation Jiaheng Liu Haoyu Qin Yichao Wu Jinyang Guo Ding Liang Ke Xu CVBM 21 19 0 12 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 28 88 0 30 Mar 2022
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias Shangxi Wu Qi He Yi Zhang Jitao Sang AAML 22 2 0 18 Feb 2022
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation Prithviraj Dhar Joshua Gleason A. Roy Carlos D. Castillo P. Phillips Ramalingam Chellappa CVBM 22 7 0 17 Dec 2021
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 33 23 0 13 Dec 2021
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 65 46 0 29 Nov 2021
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold Junghyun Lee Gwangsun Kim Matt Olfat M. Hasegawa-Johnson Chang D. Yoo 12 16 0 23 Sep 2021
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 26 2 0 06 Sep 2021
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning Martin Q. Ma Yao-Hung Hubert Tsai Paul Pu Liang Han Zhao Anton van den Hengel Ruslan Salakhutdinov Louis-Philippe Morency SSL 21 15 0 05 Jun 2021