Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2305.19765
Cited By
v1
v2 (latest)
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Neural Information Processing Systems (NeurIPS), 2023
31 May 2023
Elisa Nguyen
Minjoon Seo
Seong Joon Oh
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Github (17★)
Papers citing
"A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
7 / 7 papers shown
LLM generation novelty through the lens of semantic similarity
Philipp Davydov
Ameya Prabhu
Matthias Bethge
Elisa Nguyen
Seong Joon Oh
TDI
433
0
1
31 Oct 2025
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
370
6
0
19 Jul 2025
Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis
Theodoros Aivalis
Iraklis A. Klampanos
Antonis Troumpoukis
Joemon M. Jose
379
1
0
02 Apr 2025
Delta-Influence: Unlearning Poisons via Influence Functions
Wenjie Li
Jiawei Li
Christian Schroeder de Witt
Christian Schroeder de Witt
Amartya Sanyal
Amartya Sanyal
MU
TDI
484
9
0
20 Nov 2024
Adversarial Attacks on Data Attribution
International Conference on Learning Representations (ICLR), 2024
Xinhe Wang
Pingbang Hu
Junwei Deng
Jiaqi W. Ma
TDI
616
1
0
09 Sep 2024
Data Shapley in One Training Run
Jiachen T. Wang
Prateek Mittal
Kurt Thomas
R. Jia
TDI
615
53
0
16 Jun 2024
Training Data Attribution via Approximate Unrolled Differentiation
Juhan Bae
Wu Lin
Jonathan Lorraine
Roger C. Grosse
TDI
MU
528
26
0
20 May 2024
1
Page 1 of 1
