Fair Active Learning

6 January 2020

Hadis Anahideh

Abolfazl Asudeh

Saravanan Thirumuruganathan

FaML

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Papers citing "Fair Active Learning"

30 / 30 papers shown

Title
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction José Daniel Pascual-Triana Alberto Fernández Paulo Novais Francisco Herrera 19 0 0 19 Jul 2024
Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks Philipp Kohl Yoka Krämer Claudia Fohry Bodo Kraft 43 3 0 04 Jul 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 46 2 0 20 Feb 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification Xiaobin Song Zeyuan Liu Benben Jiang FaML 23 4 0 06 Jan 2024
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 17 1 0 13 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification Jiayi Li Rohan Taori Tatsunori Hashimoto VLM 32 0 0 01 Dec 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 19 14 0 03 Nov 2023
ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP Philipp Kohl Nils Freyer Yoka Krämer H. Werth Steffen Wolf Bodo Kraft Matthias Meinecke Albert Zündorf 33 1 0 01 Aug 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 16 1 0 21 Jul 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 33 9 0 09 May 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 21 5 0 11 Feb 2023
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem Gang Qiao Ambuj Tewari 17 0 0 03 Feb 2023
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 16 1 0 22 Sep 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering R. Fajri A. Saxena Yulong Pei Mykola Pechenizkiy FaML 26 2 0 21 Sep 2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias Yunyi Li Maria De-Arteaga M. Saar-Tsechansky FaML 19 3 0 15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 159 0 14 Jul 2022
Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms Laura Niss Yuekai Sun Ambuj Tewari FaML 14 5 0 13 Apr 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 81 30 0 31 Jan 2022
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 42 0 0 17 Dec 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 14 12 0 20 Oct 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement Umang Bhatt Isabel Chien Muhammad Bilal Zafar Adrian Weller TDI 11 5 0 13 Jul 2021
Can Active Learning Preemptively Mitigate Fairness Issues? Frederic Branchaud-Charron Parmida Atighehchian Pau Rodríguez Grace Abuhamad Alexandre Lacoste FaML 17 20 0 14 Apr 2021
Adaptive Sampling for Minimax Fair Classification S. Shekhar Greg Fields Mohammad Ghavamzadeh T. Javidi FaML 35 36 0 01 Mar 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 249 488 0 31 Dec 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 16 247 0 15 Nov 2020
Active Sampling for Min-Max Fairness Jacob D. Abernethy Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern Chris Russell Jie M. Zhang FaML 14 48 0 11 Jun 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015