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Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

5 June 2021

Louis-Philippe Morency

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Papers citing "Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning"

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Title
InfoPO: On Mutual Information Maximization for Large Language Model Alignment Teng Xiao Zhen Ge Sujay Sanghavi Tian Wang Julian Katz-Samuels Marc Versage Qingjun Cui Trishul Chilimbi 177 1 0 13 May 2025
Rethinking Positive Pairs in Contrastive Learning Jiantao Wu Shentong Mo Zhenhua Feng Sara Atito Josef Kitler Muhammad Awais SSL VLM 123 3 0 23 Oct 2024
Conditional Contrastive Learning with Kernel Yao-Hung Hubert Tsai Tianqi Li Martin Q. Ma Han Zhao Kun Zhang Louis-Philippe Morency Ruslan Salakhutdinov 58 26 0 11 Feb 2022
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 66 71 0 27 Oct 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni Nouha Dziri Hannes Schulz Geoffrey J. Gordon Philip Bachman Rémi Tachet des Combes SSL 67 30 0 25 Jun 2021
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 100 397 0 24 Jun 2021
Fair Feature Distillation for Visual Recognition S. Jung Donggyu Lee Taeeon Park Taesup Moon 61 76 0 27 May 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 161 1,871 0 05 Apr 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 86 58 0 11 Jan 2021
A Maximal Correlation Approach to Imposing Fairness in Machine Learning Joshua K. Lee Yuheng Bu P. Sattigeri Yikang Shen G. Wornell Leonid Karlinsky Rogerio Feris FaML 36 17 0 30 Dec 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 320 715 0 10 Oct 2020
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints Souradip Chakraborty Ekansh Verma Saswata Sahoo J. Datta 24 2 0 07 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu Milan Mossé Chengxu Zhuang Daniel L. K. Yamins Noah D. Goodman SSL 95 79 0 05 Oct 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith 168 1,221 0 24 Sep 2020
Contrastive learning, multi-view redundancy, and linear models Christopher Tosh A. Krishnamurthy Daniel J. Hsu SSL 92 167 0 24 Aug 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li Basel Alomair Jacob Steinhardt 145 574 0 05 Aug 2020
Towards Debiasing Sentence Representations Paul Pu Liang Irene Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 84 240 0 16 Jul 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 299 5,849 0 20 Jun 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 157 1,257 0 28 May 2020
On Mutual Information in Contrastive Learning for Visual Representations Mike Wu Chengxu Zhuang Milan Mossé Daniel L. K. Yamins Noah D. Goodman SSL 60 85 0 27 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 118 1,337 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 180 4,580 0 23 Apr 2020
Learning Unbiased Representations via Mutual Information Backpropagation R. Ragonesi Riccardo Volpi Jacopo Cavazza Vittorio Murino FaML SSL 37 30 0 13 Mar 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 50 96 0 24 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 290 649 0 03 Sep 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 196 334 0 06 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 195 1,479 0 03 Jun 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 171 1,701 0 16 Feb 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 352 2,672 0 20 Aug 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 685 0 17 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 70 1,356 0 16 Feb 2018
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 90 1,119 0 27 Feb 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,337 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 208 1,996 0 11 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 253 8,429 0 28 Nov 2014