Fair Classification with Group-Dependent Label Noise

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Fair Classification with Group-Dependent Label Noise

31 October 2020

Yang Liu

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Papers citing "Fair Classification with Group-Dependent Label Noise"

12 / 62 papers shown

Title
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani 74 20 0 17 Sep 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 98 20 0 13 Jul 2021
Bias-Tolerant Fair Classification Yixuan Zhang Feng Zhou Zhidong Li Yang Wang Fang Chen 39 3 0 07 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 69 42 0 23 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 60 32 0 10 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 137 72 0 08 Jun 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 123 539 0 26 Mar 2021
Optimizing Black-box Metrics with Iterative Example Weighting Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan M. M. Fard Oluwasanmi Koyejo NoLa 46 7 0 18 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 93 19 0 11 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 99 93 0 10 Feb 2021
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Jiankang Deng Jiatong Li Yinian Mao NoLa 76 11 0 02 Dec 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 136 1,008 0 16 Jul 2020