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Revisiting Methods for Finding Influential Examples

Revisiting Methods for Finding Influential Examples

8 November 2021
Karthikeyan K
Anders Søgaard
    TDI
ArXivPDFHTML

Papers citing "Revisiting Methods for Finding Influential Examples"

25 / 25 papers shown
Title
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
41
0
0
12 Mar 2025
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of
  Multi-parametric Surrogates with Active Learning
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning
Sofya Dymchenko
Abhishek Purandare
Bruno Raffin
AI4CE
31
0
0
08 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
42
3
0
06 Oct 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
33
1
0
20 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
49
0
0
20 Jul 2024
Efficient Ensembles Improve Training Data Attribution
Efficient Ensembles Improve Training Data Attribution
Junwei Deng
Ting-Wei Li
Shichang Zhang
Jiaqi Ma
TDI
35
2
0
27 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
59
12
0
20 May 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Jiachen T. Wang
Tianji Yang
James Zou
Yongchan Kwon
Ruoxi Jia
TDI
38
9
0
06 May 2024
On Training Data Influence of GPT Models
On Training Data Influence of GPT Models
Qingyi Liu
Yekun Chai
Shuohuan Wang
Yu Sun
Qiwei Peng
Keze Wang
Hua Wu
TDI
AI4CE
32
4
0
11 Apr 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia
Sadhika Malladi
Suchin Gururangan
Sanjeev Arora
Danqi Chen
91
194
0
06 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
29
7
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
40
8
0
09 Jan 2024
Computational Copyright: Towards A Royalty Model for Music Generative AI
Computational Copyright: Towards A Royalty Model for Music Generative AI
Junwei Deng
Shiyuan Zhang
Jiaqi Ma
29
2
0
11 Dec 2023
Unifying Corroborative and Contributive Attributions in Large Language
  Models
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge
Judy Hanwen Shen
Nicole Meister
Caleb Winston
Carlos Guestrin
TDI
37
10
0
20 Nov 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence:
  Impossibility and Possibility Theorems for Multilingual Language Models
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Phillip Rust
Anders Søgaard
33
3
0
17 Aug 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
457
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
32
15
0
26 May 2023
Foundation Models and Fair Use
Foundation Models and Fair Use
Peter Henderson
Xuechen Li
Dan Jurafsky
Tatsunori Hashimoto
Mark A. Lemley
Percy Liang
33
119
0
28 Mar 2023
Simfluence: Modeling the Influence of Individual Training Examples by
  Simulating Training Runs
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
Kelvin Guu
Albert Webson
Ellie Pavlick
Lucas Dixon
Ian Tenney
Tolga Bolukbasi
TDI
70
33
0
14 Mar 2023
Make Every Example Count: On the Stability and Utility of Self-Influence
  for Learning from Noisy NLP Datasets
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Irina Bejan
Artem Sokolov
Katja Filippova
TDI
32
9
0
27 Feb 2023
Gradient-Based Automated Iterative Recovery for Parameter-Efficient
  Tuning
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning
Maximilian Mozes
Tolga Bolukbasi
Ann Yuan
Frederick Liu
Nithum Thain
Lucas Dixon
40
4
0
13 Feb 2023
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
29
83
0
09 Dec 2022
If Influence Functions are the Answer, Then What is the Question?
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae
Nathan Ng
Alston Lo
Marzyeh Ghassemi
Roger C. Grosse
TDI
26
89
0
12 Sep 2022
ORCA: Interpreting Prompted Language Models via Locating Supporting Data
  Evidence in the Ocean of Pretraining Data
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data
Xiaochuang Han
Yulia Tsvetkov
24
28
0
25 May 2022
First is Better Than Last for Language Data Influence
First is Better Than Last for Language Data Influence
Chih-Kuan Yeh
Ankur Taly
Mukund Sundararajan
Frederick Liu
Pradeep Ravikumar
TDI
34
20
0
24 Feb 2022
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