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

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

13 December 2022
P. Sattigeri
S. Ghosh
Inkit Padhi
Pierre L. Dognin
Kush R. Varshney
    FaML
ArXivPDFHTML

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
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
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
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
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
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han
Hao Huang
Dustin Scheinost
Mary-Anne Hartley
María Rodríguez Martínez
MU
18
0
0
22 May 2024
Generalizing Orthogonalization for Models with Non-Linearities
Generalizing Orthogonalization for Models with Non-Linearities
David Rügamer
Chris Kolb
Tobias Weber
Lucas Kook
Thomas Nagler
21
0
0
03 May 2024
Multigroup Robustness
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
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
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
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
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
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
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
Quantifying and mitigating the impact of label errors on model disparity metrics
Julius Adebayo
Melissa Hall
Bowen Yu
Bobbie Chern
16
10
0
04 Oct 2023
Bias Testing and Mitigation in LLM-based Code Generation
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
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
On the Cause of Unfairness: A Training Sample Perspective
Yuanshun Yao
Yang Liu
TDI
28
0
0
30 Jun 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
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
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
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
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
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
1