Learning Unbiased Representations via Mutual Information Backpropagation

13 March 2020

Papers citing "Learning Unbiased Representations via Mutual Information Backpropagation"

24 / 24 papers shown

Title
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Massimiliano Mancini MU OOD 167 1 0 12 Mar 2025
Information Subtraction: Learning Representations for Conditional Entropy Keng Hou Leong Yuxuan Xiu Wai Kin Chan 59 0 0 02 Jan 2025
Model Debiasing by Learnable Data Augmentation Pietro Morerio R. Ragonesi Vittorio Murino 80 0 0 09 Aug 2024
Representation Learning with Conditional Information Flow Maximization Dou Hu Lingwei Wei Wei Zhou Songlin Hu SSL 92 1 0 08 Jun 2024
Structured Probabilistic Coding Dou Hu Lingwei Wei Yaxin Liu Wei Zhou Songlin Hu 92 1 0 21 Dec 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 47 2 0 13 Nov 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 83 3 0 08 Oct 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 103 35 0 19 Jun 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 88 14 0 01 May 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 94 1 0 22 Feb 2023
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing Tianyi Zheng CVBM 79 2 0 17 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 75 5 0 11 Feb 2023
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 57 1 0 16 Aug 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 58 16 0 11 Jul 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation Seonguk Seo Joon-Young Lee Bohyung Han CML 85 24 0 10 Jan 2022
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 80 24 0 13 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 66 9 0 25 Nov 2021
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID Chaitra Jambigi Ruchit Rawal Anirban Chakraborty 52 23 0 09 Nov 2021
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition Jiazhi Li Wael AbdAlmageed 92 6 0 08 Nov 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 149 43 0 11 Aug 2021
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning Martin Q. Ma Yao-Hung Hubert Tsai Paul Pu Liang Han Zhao Kun Zhang Ruslan Salakhutdinov Louis-Philippe Morency SSL 83 16 0 05 Jun 2021
FAIR: Fair Adversarial Instance Re-weighting Andrija Petrović Mladen Nikolic Sandro Radovanović Boris Delibavsić Milovs Jovanović FaML AAML 53 34 0 15 Nov 2020
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 60 21 0 07 Sep 2020
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 303 4,687 0 17 Feb 2017