Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

13 December 2022

Papers citing "Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting"

22 / 22 papers shown

Title
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 136 2 0 10 Jan 2025
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen Jiaming Zhang Yizhao Zhang Li Zhang Lingjuan Lyu Yuyuan Li Biao Gong Chenggang Yan CML ELM MU 27 3 0 26 Aug 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 32 1 0 11 Jun 2024
HateDebias: On the Diversity and Variability of Hate Speech Debiasing Nankai Lin Hongyan Wu Zhengming Chen Zijian Li Lianxi Wang Shengyi Jiang Dong Zhou Aimin Yang 28 0 0 07 Jun 2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases Ling Han Hao Huang Dustin Scheinost Mary-Anne Hartley María Rodríguez Martínez MU 23 0 0 22 May 2024
Generalizing Orthogonalization for Models with Non-Linearities David Rügamer Chris Kolb Tobias Weber Lucas Kook Thomas Nagler 23 0 0 03 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 21 1 0 01 May 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 22 10 0 12 Mar 2024
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations Swapnaja Achintalwar Adriana Alvarado Garcia Ateret Anaby-Tavor Ioana Baldini Sara E. Berger ... Aashka Trivedi Kush R. Varshney Dennis L. Wei Shalisha Witherspooon Marcel Zalmanovici 25 10 0 09 Mar 2024
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI Soumili Das Shubhadip Nag Shreyyash Sharma Suparna Bhattacharya Sourangshu Bhattacharya 19 0 0 08 Mar 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 65 81 0 13 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 28 7 0 09 Jan 2024
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning Yihua Zhang Yimeng Zhang Aochuan Chen Jinghan Jia Jiancheng Liu Gaowen Liu Min-Fong Hong Shiyu Chang Sijia Liu AAML 18 8 0 13 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 19 10 0 04 Oct 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 33 20 0 03 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 19 485 0 02 Sep 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 31 0 0 30 Jun 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre L. Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 24 12 0 21 Apr 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 22 105 0 11 Apr 2023
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 14 12 0 15 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021