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FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging

FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

31 December 2020
Han Guo
Nazneen Rajani
Peter Hase
Mohit Bansal
Caiming Xiong
    TDI
ArXivPDFHTML

Papers citing "FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging"

50 / 81 papers shown
Title
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
Jianwei Yin
TDI
48
0
0
08 May 2025
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
Yanzhou Pan
Huawei Lin
Yide Ran
Jiamin Chen
Xiaodong Yu
Weijie Zhao
Denghui Zhang
Zhaozhuo Xu
40
0
0
02 Mar 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
128
2
0
21 Feb 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning
L. Zhang
Lijie Hu
Di Wang
LRM
92
0
0
17 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Shichang Zhang
Tessa Han
Usha Bhalla
Hima Lakkaraju
FAtt
147
0
0
17 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
53
0
0
15 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Junfeng Fang
Cunchun Li
Xiang Wang
Xiangnan He
69
1
0
01 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
142
2
0
10 Jan 2025
LossVal: Efficient Data Valuation for Neural Networks
LossVal: Efficient Data Valuation for Neural Networks
Tim Wibiral
Mohamed Karim Belaid
Maximilian Rabus
Ansgar Scherp
TDI
92
0
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
129
0
0
02 Dec 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Rui Ye
Fengting Yuchi
W. Zhao
Jingjing Qu
Y. Wang
Siheng Chen
ALM
FedML
45
0
0
15 Oct 2024
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data
  Influence Estimation
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation
Xinyu Zhou
Simin Fan
Martin Jaggi
TDI
26
0
0
07 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
28
1
0
30 Sep 2024
In2Core: Leveraging Influence Functions for Coreset Selection in
  Instruction Finetuning of Large Language Models
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
Ayrton San Joaquin
Bin Wang
Zhengyuan Liu
Nicholas Asher
Brian Lim
Philippe Muller
Nancy Chen
34
0
0
07 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
28
0
0
02 Aug 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
44
2
0
20 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
52
0
0
16 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for
  Explaining Language Model Predictions
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jingtan Wang
Xiaoqiang Lin
Rui Qiao
Chuan-Sheng Foo
Bryan Kian Hsiang Low
TDI
35
3
0
07 Jun 2024
How Video Meetings Change Your Expression
How Video Meetings Change Your Expression
Sumit Sarin
Utkarsh Mall
Purva Tendulkar
Carl Vondrick
CVBM
32
0
0
03 Jun 2024
Efficient Ensembles Improve Training Data Attribution
Efficient Ensembles Improve Training Data Attribution
Junwei Deng
Ting-Wei Li
Shichang Zhang
Jiaqi Ma
TDI
30
2
0
27 May 2024
Editable Concept Bottleneck Models
Editable Concept Bottleneck Models
Lijie Hu
Chenyang Ren
Zhengyu Hu
Cheng-Long Wang
Di Wang
Hui Xiong
Jingfeng Zhang
Di Wang
32
3
0
24 May 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating
  The Influence of Experiences
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka
Guanquan Wang
Takashi Onishi
Yoshimasa Tsuruoka
37
0
0
23 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 P. Xing
TDI
39
28
0
22 May 2024
The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM
  Fine-tuning
The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning
Rochelle Choenni
Anne Lauscher
Ekaterina Shutova
26
7
0
21 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
49
3
0
20 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
41
1
0
16 May 2024
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
41
3
0
22 Apr 2024
Evolving Interpretable Visual Classifiers with Large Language Models
Evolving Interpretable Visual Classifiers with Large Language Models
Mia Chiquier
Utkarsh Mall
Carl Vondrick
VLM
28
10
0
15 Apr 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of
  Subjective Tasks
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
34
0
0
22 Feb 2024
A Curious Case of Searching for the Correlation between Training Data
  and Adversarial Robustness of Transformer Textual Models
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
Cuong Dang
Dung D. Le
Thai Le
AAML
29
2
0
18 Feb 2024
Unlearning Traces the Influential Training Data of Language Models
Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma
Ivan Titov
MU
24
6
0
26 Jan 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
37
8
0
09 Jan 2024
Deeper Understanding of Black-box Predictions via Generalized Influence
  Functions
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu
Jonggyu Jang
Sehyun Ryu
H. Yang
TDI
AI4CE
18
5
0
09 Dec 2023
Examining Modularity in Multilingual LMs via Language-Specialized
  Subnetworks
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks
Rochelle Choenni
Ekaterina Shutova
Daniel H Garrette
27
8
0
14 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for
  Recommendation Systems
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems
Haojun Zhu
Vikram Kapoor
Priya Sharma
GNN
19
0
0
10 Nov 2023
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
17
1
0
06 Nov 2023
Exploring Practitioner Perspectives On Training Data Attribution
  Explanations
Exploring Practitioner Perspectives On Training Data Attribution Explanations
Elisa Nguyen
Evgenii Kortukov
Jean Y. Song
Seong Joon Oh
TDI
379
1
0
31 Oct 2023
Sample based Explanations via Generalized Representers
Sample based Explanations via Generalized Representers
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
FAtt
39
8
0
27 Oct 2023
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
29
8
0
13 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and
  Diffusion Models
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
Yongchan Kwon
Eric Wu
K. Wu
James Zou
DiffM
TDI
18
53
0
02 Oct 2023
What Learned Representations and Influence Functions Can Tell Us About
  Adversarial Examples
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
Shakila Mahjabin Tonni
Mark Dras
TDI
AAML
GAN
11
0
0
19 Sep 2023
Explainability for Large Language Models: A Survey
Explainability for Large Language Models: A Survey
Haiyan Zhao
Hanjie Chen
Fan Yang
Ninghao Liu
Huiqi Deng
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Mengnan Du
LRM
23
408
0
02 Sep 2023
Evaluating Data Attribution for Text-to-Image Models
Evaluating Data Attribution for Text-to-Image Models
Sheng-Yu Wang
Alexei A. Efros
Jun-Yan Zhu
Richard Y. Zhang
TDI
26
30
0
15 Jun 2023
Representer Point Selection for Explaining Regularized High-dimensional
  Models
Representer Point Selection for Explaining Regularized High-dimensional Models
Che-Ping Tsai
Jiong Zhang
Eli Chien
Hsiang-Fu Yu
Cho-Jui Hsieh
Pradeep Ravikumar
18
2
0
31 May 2023
A Bayesian Approach To Analysing Training Data Attribution In Deep
  Learning
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Elisa Nguyen
Minjoon Seo
Seong Joon Oh
BDL
436
7
0
31 May 2023
Theoretical and Practical Perspectives on what Influence Functions Do
Theoretical and Practical Perspectives on what Influence Functions Do
Andrea Schioppa
Katja Filippova
Ivan Titov
Polina Zablotskaia
TDI
19
14
0
26 May 2023
How do languages influence each other? Studying cross-lingual data
  sharing during LM fine-tuning
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni
Dan Garrette
Ekaterina Shutova
32
15
0
22 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
27
408
0
27 Apr 2023
Regularizing Second-Order Influences for Continual Learning
Regularizing Second-Order Influences for Continual Learning
Zhicheng Sun
Yadong Mu
G. Hua
CLL
9
22
0
20 Apr 2023
Revisiting the Fragility of Influence Functions
Revisiting the Fragility of Influence Functions
Jacob R. Epifano
Ravichandran Ramachandran
A. Masino
Ghulam Rasool
TDI
8
14
0
22 Mar 2023
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