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Scaling Up Influence Functions

Scaling Up Influence Functions

AAAI Conference on Artificial Intelligence (AAAI), 2021
6 December 2021
Andrea Schioppa
Polina Zablotskaia
David Vilar
Artem Sokolov
    TDI
ArXiv (abs)PDFHTMLGithub (60★)

Papers citing "Scaling Up Influence Functions"

50 / 99 papers shown
Scalable Data Attribution via Forward-Only Test-Time Inference
Scalable Data Attribution via Forward-Only Test-Time Inference
Sibo Ma
Julian Nyarko
TDI
381
0
0
25 Nov 2025
Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
Heejoon Koo
167
0
0
23 Nov 2025
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
Dmytro Vitel
Anshuman Chhabra
TDI
435
4
0
06 Nov 2025
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
Qiyan Deng
Changqian Zheng
Lianpeng Qiao
Yuping Wang
Chengliang Chai
Lei Cao
TDIDD
367
0
0
31 Oct 2025
LLM generation novelty through the lens of semantic similarity
LLM generation novelty through the lens of semantic similarity
Philipp Davydov
Ameya Prabhu
Matthias Bethge
Elisa Nguyen
Seong Joon Oh
TDI
509
0
1
31 Oct 2025
Faithful and Fast Influence Function via Advanced Sampling
Faithful and Fast Influence Function via Advanced Sampling
Jungyeon Koh
Hyeonsu Lyu
Jonggyu Jang
H. Yang
TDI
560
2
0
30 Oct 2025
SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone
SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone
Nishant Subramani
Alfredo Gomez
Mona T. Diab
157
1
0
20 Oct 2025
Layer-Aware Influence for Online Data Valuation Estimation
Layer-Aware Influence for Online Data Valuation Estimation
Ziao Yang
Longbo Huang
Hongfu Liu
TDI
316
0
0
14 Oct 2025
Z0-Inf: Zeroth Order Approximation for Data Influence
Z0-Inf: Zeroth Order Approximation for Data Influence
Narine Kokhlikyan
Kamalika Chaudhuri
Saeed Mahloujifar
TDI
225
0
0
13 Oct 2025
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
Subhodip Panda
Dhruv Tarsadiya
S. Sourav
Prathosh A.P.
Sai Praneeth Karimireddy
TDI
277
0
0
12 Oct 2025
What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
Shahriar Kabir Nahin
Wenxiao Xiao
Joshua Liu
Anshuman Chhabra
Hongfu Liu
TDI
299
0
0
04 Oct 2025
Sensitivity Analysis for Diffusion Models
Sensitivity Analysis for Diffusion Models
Christopher Scarvelis
Justin Solomon
DiffM
157
0
0
27 Sep 2025
HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
M. Yang
X. Li
Zhiyuan Ma
Dengliang Shi
Jintao Du
Yu-Jie Cheng
Weiguo Zheng
135
0
0
25 Sep 2025
Toward Efficient Influence Function: Dropout as a Compression Tool
Toward Efficient Influence Function: Dropout as a Compression Tool
Yuchen Zhang
Mohammad Mohammadi Amiri
TDI
295
0
0
19 Sep 2025
Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Marko Tuononen
Heikki Penttinen
Ville Hautamäki
259
0
0
19 Sep 2025
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences
M. Nagaraj
Deepak Ravikumar
Kaushik Roy
303
4
0
27 Aug 2025
Understanding Data Influence with Differential Approximation
Understanding Data Influence with Differential Approximation
Haoru Tan
Sitong Wu
Xiuzhe Wu
Wang Wang
Bo Zhao
Zeke Xie
Gui-Song Xia
Xiaojuan Qi
TDI
364
2
0
20 Aug 2025
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Andrew Wang
Elisa Nguyen
Runshi Yang
Juhan Bae
Sheila A. McIlraith
Roger C. Grosse
TDI
408
6
0
19 Jul 2025
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
Jonas R. Naujoks
Aleksander Krasowski
Moritz Weckbecker
Galip Umit Yolcu
Thomas Wiegand
Sebastian Lapuschkin
Wojciech Samek
R. P. Klausen
TDIPINNAI4CE
320
1
0
19 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
371
0
0
13 Jun 2025
Learning to Weight Parameters for Training Data Attribution
Learning to Weight Parameters for Training Data Attribution
Shuangqi Li
Hieu M. Le
Aoxiang Fan
Mathieu Salzmann
TDIDiffM
468
1
0
06 Jun 2025
Fast-DataShapley: Neural Modeling for Training Data Valuation
Fast-DataShapley: Neural Modeling for Training Data Valuation
Haifeng Sun
Yu Xiong
Runze Wu
Xinyu Cai
Changjie Fan
Lan Zhang
Xiang-Yang Li
TDI
490
1
0
05 Jun 2025
IF-GUIDE: Influence Function-Guided Detoxification of LLMs
IF-GUIDE: Influence Function-Guided Detoxification of LLMs
Zachary Coalson
Juhan Bae
Nicholas Carlini
Sanghyun Hong
TDI
518
1
0
02 Jun 2025
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Shunyu Wu
Dan Li
Haozheng Ye
Zhuomin Chen
Jiahui Zhou
Jian Lou
AI4TS
249
0
0
02 Jun 2025
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
Weiyi Wang
Junwei Deng
Yuzheng Hu
Shiyuan Zhang
Xirui Jiang
Runting Zhang
Han Zhao
Jiaqi W. Ma
TDI
368
3
0
30 May 2025
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
Hadi Askari
Shivanshu Gupta
Fei Wang
Anshuman Chhabra
Muhao Chen
TDI
487
8
0
27 May 2025
Towards Robust Influence Functions with Flat Validation Minima
Towards Robust Influence Functions with Flat Validation MinimaInternational Conference on Machine Learning (ICML), 2025
Xichen Ye
Yifan Wu
Weizhong Zhang
Cheng Jin
Yifan Chen
TDI
504
3
0
25 May 2025
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu
Joseph Melkonian
Weijing Tang
Han Zhao
Jiaqi W. Ma
TDI
682
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
553
3
0
24 May 2025
Small-to-Large Generalization: Data Influences Models Consistently Across Scale
Small-to-Large Generalization: Data Influences Models Consistently Across Scale
Alaa Khaddaj
Logan Engstrom
Aleksander Madry
TDIAI4CE
375
1
0
22 May 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Laplace Sample Information: Data Informativeness Through a Bayesian LensInternational Conference on Learning Representations (ICLR), 2025
Johannes Kaiser
Kristian Schwethelm
Daniel Rueckert
Georgios Kaissis
264
1
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 ParameterizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Yuntai Bao
Xuhong Zhang
Tianyu Du
Xinkui Zhao
Jiang Zong
Hao Peng
Yuxiang Cai
TDI
438
0
0
08 May 2025
Finding the Muses: Identifying Coresets through Loss Trajectories
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
386
1
0
12 Mar 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized ImagesNeural Information Processing Systems (NeurIPS), 2024
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
498
21
0
21 Feb 2025
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Jie Xu
Zihan Wu
TDI
313
0
0
15 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
AI4TS
423
0
0
14 Feb 2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich
Alexander Podolskiy
Irina Piontkovskaya
313
2
0
28 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond
Most Influential Subset Selection: Challenges, Promises, and BeyondNeural Information Processing Systems (NeurIPS), 2024
Yuzheng Hu
Pingbang Hu
Han Zhao
Jiaqi W. Ma
TDI
615
28
0
10 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
954
28
0
31 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
628
1
0
05 Dec 2024
A Versatile Influence Function for Data Attribution with
  Non-Decomposable Loss
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
Junwei Deng
Weijing Tang
Jiaqi W. Ma
TDI
333
1
0
02 Dec 2024
Influence functions and regularity tangents for efficient active learning
Influence functions and regularity tangents for efficient active learning
Frederik Eaton
TDI
363
0
0
22 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample
  Perspective
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Yeonsung Jung
Jaeyun Song
J. Yang
Jin-Hwa Kim
Sung-Yub Kim
Eunho Yang
528
5
0
01 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
484
14
0
24 Oct 2024
Scalable Influence and Fact Tracing for Large Language Model Pretraining
Scalable Influence and Fact Tracing for Large Language Model PretrainingInternational Conference on Learning Representations (ICLR), 2024
Tyler A. Chang
Dheeraj Rajagopal
Tolga Bolukbasi
Lucas Dixon
Ian Tenney
TDI
396
22
0
22 Oct 2024
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
Efficient Pretraining Data Selection for Language Models via Multi-Actor CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Tianyi Bai
Ling Yang
Zhen Hao Wong
Fupeng Sun
Jiahui Peng
...
Lijun Wu
Jiantao Qiu
Wentao Zhang
Binhang Yuan
Conghui He
LLMAG
471
6
0
10 Oct 2024
$\texttt{dattri}$: A Library for Efficient Data Attribution
dattri\texttt{dattri}dattri: A Library for Efficient Data AttributionNeural Information Processing Systems (NeurIPS), 2024
Junwei Deng
Ting-Wei Li
Shiyuan Zhang
Shixuan Liu
Yijun Pan
Hao Huang
Xinhe Wang
Pingbang Hu
Xingjian Zhang
Jiaqi W. Ma
TDI
217
15
0
06 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
304
14
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
389
7
0
25 Sep 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
268
5
0
24 Jun 2024
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