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If Influence Functions are the Answer, Then What is the Question?

If Influence Functions are the Answer, Then What is the Question?

12 September 2022
Juhan Bae
Nathan Ng
Alston Lo
Marzyeh Ghassemi
Roger C. Grosse
    TDI
ArXiv (abs)PDFHTML

Papers citing "If Influence Functions are the Answer, Then What is the Question?"

50 / 80 papers shown
Title
Distributional Training Data Attribution
Distributional Training Data Attribution
Bruno Mlodozeniec
Isaac Reid
Sam Power
David M. Krueger
Murat Erdogdu
Richard E. Turner
Roger B. Grosse
TDIOOD
54
0
0
15 Jun 2025
A Comparative Analysis of Influence Signals for Data Debugging
A Comparative Analysis of Influence Signals for Data Debugging
Nikolaos Myrtakis
Ioannis Tsamardinos
V. Christophides
TDI
40
0
0
13 Jun 2025
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
Evelyn Ma
Duo Zhou
Peizhi Niu
Huiting Zhou
Huan Zhang
Olgica Milenković
S. Rasoul Etesami
MU
120
0
0
12 Jun 2025
Distillation Robustifies Unlearning
Distillation Robustifies Unlearning
Bruce W. Lee
Addie Foote
Alex Infanger
Leni Shor
Harish Kamath
Jacob Goldman-Wetzler
Bryce Woodworth
Alex Cloud
Alexander Matt Turner
MU
75
0
0
06 Jun 2025
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo
Kyeongheung Yun
Seokwon Yoon
M. Park
Jungseul Ok
Dongwoo Kim
TDIAAML
134
0
0
05 Jun 2025
On Support Samples of Next Word Prediction
On Support Samples of Next Word Prediction
Yuqian Li
Yupei Du
Yufang Liu
Feifei Feng
Mou Xiao Feng
Y. Wu
73
0
0
04 Jun 2025
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
Florian Eichin
Yupei Du
Philipp Mondorf
Barbara Plank
Michael A. Hedderich
FAtt
154
0
0
26 May 2025
Towards Robust Influence Functions with Flat Validation Minima
Towards Robust Influence Functions with Flat Validation Minima
Xichen Ye
Yifan Wu
Weizhong Zhang
Cheng Jin
Yifan Chen
TDI
55
0
0
25 May 2025
Enhancing Training Data Attribution with Representational Optimization
Enhancing Training Data Attribution with Representational Optimization
W. Sun
Haokun Liu
Nikhil Kandpal
Colin Raffel
Yiming Yang
TDI
63
0
0
24 May 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser
Kristian Schwethelm
Daniel Rueckert
Georgios Kaissis
54
0
0
21 May 2025
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
Yuntai Bao
Xuhong Zhang
Tianyu Du
Xinkui Zhao
Jiang Zong
Hao Peng
Yuxiang Cai
TDI
132
0
0
08 May 2025
MAGIC: Near-Optimal Data Attribution for Deep Learning
MAGIC: Near-Optimal Data Attribution for Deep Learning
Andrew Ilyas
Logan Engstrom
TDI
120
1
0
23 Apr 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Rui Qiao
Zhaoxuan Wu
Jingtan Wang
Pang Wei Koh
Bryan Kian Hsiang Low
OOD
107
2
0
10 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
Weiqi Wang
Zhiyi Tian
An Liu
Shui Yu
121
1
0
27 Feb 2025
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
217
9
0
10 Jan 2025
Where Did Your Model Learn That? Label-free Influence for
  Self-supervised Learning
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
Nidhin Harilal
Amit Rege
Reza Akbarian Bafghi
M. Raissi
C. Monteleoni
TDI
79
0
0
22 Dec 2024
LossVal: Efficient Data Valuation for Neural Networks
LossVal: Efficient Data Valuation for Neural Networks
Tim Wibiral
Mohamed Karim Belaid
Maximilian Rabus
Ansgar Scherp
TDI
207
0
0
05 Dec 2024
Mislabeled examples detection viewed as probing machine learning models:
  concepts, survey and extensive benchmark
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
Thomas George
Pierre Nodet
A. Bondu
Vincent Lemaire
VLM
74
1
0
21 Oct 2024
Montessori-Instruct: Generate Influential Training Data Tailored for
  Student Learning
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li
Zichun Yu
Chenyan Xiong
SyDa
82
1
0
18 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models
Influence Functions for Scalable Data Attribution in Diffusion Models
Bruno Mlodozeniec
Runa Eschenhagen
Juhan Bae
Alexander Immer
David Krueger
Richard E. Turner
DiffMTDI
164
7
0
17 Oct 2024
$\texttt{dattri}$: A Library for Efficient Data Attribution
dattri\texttt{dattri}dattri: A Library for Efficient Data Attribution
Junwei Deng
Ting-Wei Li
Shiyuan Zhang
Shixuan Liu
Yijun Pan
Hao Huang
Xinhe Wang
Pingbang Hu
Xingjian Zhang
Jiaqi W. Ma
TDI
78
5
0
06 Oct 2024
How Much Can We Forget about Data Contamination?
How Much Can We Forget about Data Contamination?
Sebastian Bordt
Suraj Srinivas
Valentyn Boreiko
U. V. Luxburg
133
2
0
04 Oct 2024
Enhancing Training Data Attribution for Large Language Models with
  Fitting Error Consideration
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
Kangxi Wu
Liang Pang
Huawei Shen
Xueqi Cheng
TDI
68
2
0
02 Oct 2024
Do Influence Functions Work on Large Language Models?
Do Influence Functions Work on Large Language Models?
Zhe Li
Wei Zhao
Yige Li
Jun Sun
TDI
92
3
0
30 Sep 2024
Revisiting inverse Hessian vector products for calculating influence
  functions
Revisiting inverse Hessian vector products for calculating influence functions
Yegor Klochkov
Yang Liu
TDILLMSV
90
2
0
25 Sep 2024
Harnessing Diversity for Important Data Selection in Pretraining Large
  Language Models
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
Chi Zhang
Huaping Zhong
Kuan Zhang
Chengliang Chai
Rui Wang
...
Lei Cao
Ju Fan
Ye Yuan
Guoren Wang
Conghui He
TDI
107
10
0
25 Sep 2024
Towards User-Focused Research in Training Data Attribution for
  Human-Centered Explainable AI
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
Elisa Nguyen
Johannes Bertram
Evgenii Kortukov
Jean Y. Song
Seong Joon Oh
TDI
562
2
0
25 Sep 2024
Tracing Privacy Leakage of Language Models to Training Data via Adjusted
  Influence Functions
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
Jinxin Liu
Zao Yang
68
1
0
20 Aug 2024
Data Debugging is NP-hard for Classifiers Trained with SGD
Data Debugging is NP-hard for Classifiers Trained with SGD
Zizheng Guo
Pengyu Chen
Yanzhang Fu
Xuelong Li
72
0
0
02 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs
Tamper-Resistant Safeguards for Open-Weight LLMs
Rishub Tamirisa
Bhrugu Bharathi
Long Phan
Andy Zhou
Alice Gatti
...
Andy Zou
Dawn Song
Bo Li
Dan Hendrycks
Mantas Mazeika
AAMLMU
133
63
0
01 Aug 2024
Enhancing High-Energy Particle Physics Collision Analysis through Graph
  Data Attribution Techniques
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques
A. Verdone
A. Devoto
C. Sebastiani
J. Carmignani
M. D’Onofrio
S. Giagu
S. Scardapane
M. Panella
77
0
0
20 Jul 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
  Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
Saachi Jain
Kimia Hamidieh
Kristian Georgiev
Andrew Ilyas
Marzyeh Ghassemi
Aleksander Madry
86
3
0
24 Jun 2024
Data-Centric AI in the Age of Large Language Models
Data-Centric AI in the Age of Large Language Models
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
...
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
ALM
126
3
0
20 Jun 2024
Data Shapley in One Training Run
Data Shapley in One Training Run
Jiachen T. Wang
Prateek Mittal
Dawn Song
R. Jia
TDI
137
15
0
16 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS
  unlearning competition
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
Eleni Triantafillou
Peter Kairouz
Fabian Pedregosa
Jamie Hayes
M. Kurmanji
...
Lisheng Sun-Hosoya
Sergio Escalera
Gintare Karolina Dziugaite
Peter Triantafillou
Isabelle M Guyon
MU
97
21
0
13 Jun 2024
Causal Estimation of Memorisation Profiles
Causal Estimation of Memorisation Profiles
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
97
8
0
06 Jun 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Ng
Roger C. Grosse
Marzyeh Ghassemi
68
0
0
04 Jun 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are
  Vulnerable
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
Martín Bertrán
Shuai Tang
Michael Kearns
Jamie Morgenstern
Aaron Roth
Zhiwei Steven Wu
AAML
89
12
0
30 May 2024
Salutary Labeling with Zero Human Annotation
Salutary Labeling with Zero Human Annotation
Wenxiao Xiao
Hongfu Liu
45
0
0
27 May 2024
Efficient Ensembles Improve Training Data Attribution
Efficient Ensembles Improve Training Data Attribution
Junwei Deng
Ting-Wei Li
Shichang Zhang
Jiaqi Ma
TDI
81
3
0
27 May 2024
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence
  Functions
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Keun Choe
Hwijeen Ahn
Juhan Bae
Kewen Zhao
Minsoo Kang
...
Teruko Mitamura
Jeff Schneider
Eduard Hovy
Roger C. Grosse
Eric Xing
TDI
97
44
0
22 May 2024
Training Data Attribution via Approximate Unrolled Differentiation
Training Data Attribution via Approximate Unrolled Differentiation
Juhan Bae
Wu Lin
Jonathan Lorraine
Roger C. Grosse
TDIMU
156
18
0
20 May 2024
Token-wise Influential Training Data Retrieval for Large Language Models
Token-wise Influential Training Data Retrieval for Large Language Models
Huawei Lin
Jikai Long
Zhaozhuo Xu
Weijie Zhao
83
8
0
20 May 2024
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
108
3
0
22 Apr 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
Ziyu Wang
Chris Holmes
UQCV
105
3
0
28 Mar 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Mahtab Sarvmaili
Hassan Sajjad
Ga Wu
212
1
0
22 Mar 2024
Guardrail Baselines for Unlearning in LLMs
Guardrail Baselines for Unlearning in LLMs
Pratiksha Thaker
Yash Maurya
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
MU
107
53
0
05 Mar 2024
Automated Efficient Estimation using Monte Carlo Efficient Influence
  Functions
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Raj Agrawal
Sam Witty
Andy Zane
Eli Bingham
104
2
0
29 Feb 2024
Unveiling Privacy, Memorization, and Input Curvature Links
Unveiling Privacy, Memorization, and Input Curvature Links
Deepak Ravikumar
Efstathia Soufleri
Abolfazl Hashemi
Kaushik Roy
107
6
0
28 Feb 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
AILawMU
188
120
0
13 Feb 2024
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