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Influence Functions in Deep Learning Are Fragile

Influence Functions in Deep Learning Are Fragile

25 June 2020
S. Basu
Phillip E. Pope
S. Feizi
    TDI
ArXivPDFHTML

Papers citing "Influence Functions in Deep Learning Are Fragile"

50 / 154 papers shown
Title
MAGIC: Near-Optimal Data Attribution for Deep Learning
MAGIC: Near-Optimal Data Attribution for Deep Learning
Andrew Ilyas
Logan Engstrom
TDI
39
0
0
23 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
19
0
0
18 Apr 2025
Detecting Instruction Fine-tuning Attack on Language Models with Influence Function
Detecting Instruction Fine-tuning Attack on Language Models with Influence Function
Jiawei Li
TDI
AAML
33
0
0
12 Apr 2025
Data Poisoning in Deep Learning: A Survey
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao
Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
39
0
0
27 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
36
0
0
12 Mar 2025
Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
Controllable Unlearning for Image-to-Image Generative Models via ε\varepsilonε-Constrained Optimization
Xiaohua Feng
Chao-Jun Chen
Yuyuan Li
L. Zhang
Longfei Li
Jun Zhou
Xiaolin Zheng
MU
70
0
0
20 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
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
50
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
44
0
0
14 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
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
90
12
0
31 Dec 2024
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
41
0
0
22 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
100
6
0
30 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions
Delta-Influence: Unlearning Poisons via Influence Functions
Wenjie Li
Jiawei Li
Christian Schroeder de Witt
Ameya Prabhu
Amartya Sanyal
TDI
MU
92
0
0
20 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
38
2
0
24 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
$\texttt{dattri}$: 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
34
3
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
45
1
0
04 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning
Deep Unlearn: Benchmarking Machine Unlearning
Xavier F. Cadet
Anastasia Borovykh
Mohammad Malekzadeh
S. Ahmadi-Abhari
Hamed Haddadi
BDL
MU
32
1
0
02 Oct 2024
Revisiting inverse Hessian vector products for calculating influence
  functions
Revisiting inverse Hessian vector products for calculating influence functions
Yegor Klochkov
Yang Liu
TDI
LLMSV
19
1
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
374
2
0
25 Sep 2024
Leveraging Open Knowledge for Advancing Task Expertise in Large Language
  Models
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
Yuncheng Yang
Yulei Qin
Tong Wu
Zihan Xu
Gang Li
...
Yuchen Shi
Ke Li
Xing Sun
Jie Yang
Yun Gu
ALM
OffRL
MoE
50
0
0
28 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Jundong Li
MU
57
7
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
37
0
0
20 Jul 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
Selecting Interpretability Techniques for Healthcare Machine Learning
  models
Selecting Interpretability Techniques for Healthcare Machine Learning models
Daniel Sierra-Botero
Ana Molina-Taborda
Mario S. Valdés-Tresanco
Alejandro Hernández-Arango
Leonardo Espinosa-Leal
Alexander Karpenko
O. Lopez-Acevedo
23
0
0
14 Jun 2024
Ablation Based Counterfactuals
Ablation Based Counterfactuals
Zheng Dai
David K Gifford
21
0
0
12 Jun 2024
Causal Estimation of Memorisation Profiles
Causal Estimation of Memorisation Profiles
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
45
5
0
06 Jun 2024
What is Dataset Distillation Learning?
What is Dataset Distillation Learning?
William Yang
Ye Zhu
Zhiwei Deng
Olga Russakovsky
DD
44
3
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
38
0
0
04 Jun 2024
Decomposing and Interpreting Image Representations via Text in ViTs
  Beyond CLIP
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
S. Balasubramanian
Samyadeep Basu
S. Feizi
CLIP
21
3
0
03 Jun 2024
Empirical influence functions to understand the logic of fine-tuning
Empirical influence functions to understand the logic of fine-tuning
Jordan K Matelsky
Lyle Ungar
Konrad Paul Kording
26
0
0
01 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha
Bernardo Pereira Nunes
Armin Haller
MU
KELM
38
1
0
31 May 2024
Salutary Labeling with Zero Human Annotation
Salutary Labeling with Zero Human Annotation
Wenxiao Xiao
Hongfu Liu
21
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
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
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
37
28
0
22 May 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context
  Learning
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou
Xiaoqiang Lin
Xinyi Xu
Alok Prakash
Daniela Rus
K. H. Low
36
2
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
TDI
MU
51
12
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
49
3
0
20 May 2024
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
Anshuman Chhabra
Bo Li
Jian Chen
Prasant Mohapatra
Hongfu Liu
TDI
29
0
0
06 May 2024
Neural Dynamic Data Valuation
Neural Dynamic Data Valuation
Zhangyong Liang
Huanhuan Gao
Ji Zhang
TDI
40
1
0
30 Apr 2024
Towards Lifecycle Unlearning Commitment Management: Measuring
  Sample-level Approximate Unlearning Completeness
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness
Cheng-Long Wang
Qi Li
Zihang Xiang
Yinzhi Cao
Di Wang
MU
21
1
0
19 Mar 2024
Shapley Values-Powered Framework for Fair Reward Split in Content
  Produced by GenAI
Shapley Values-Powered Framework for Fair Reward Split in Content Produced by GenAI
Alex Glinsky
Alexey Sokolsky
33
0
0
05 Mar 2024
Unveiling Privacy, Memorization, and Input Curvature Links
Unveiling Privacy, Memorization, and Input Curvature Links
Deepak Ravikumar
Efstathia Soufleri
Abolfazl Hashemi
Kaushik Roy
49
5
0
28 Feb 2024
Variational Learning is Effective for Large Deep Networks
Variational Learning is Effective for Large Deep Networks
Yuesong Shen
Nico Daheim
Bai Cong
Peter Nickl
Gian Maria Marconi
...
Rio Yokota
Iryna Gurevych
Daniel Cremers
Mohammad Emtiyaz Khan
Thomas Möllenhoff
37
22
0
27 Feb 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
In-Context Learning Demonstration Selection via Influence Analysis
In-Context Learning Demonstration Selection via Influence Analysis
Vinay M.S.
Minh-Hao Van
Xintao Wu
29
3
0
19 Feb 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation
  by Harnessing Forward Passes
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
Myeongseob Ko
Feiyang Kang
Weiyan Shi
Ming Jin
Zhou Yu
Ruoxi Jia
TDI
16
4
0
14 Feb 2024
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