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The Mirrored Influence Hypothesis: Efficient Data Influence Estimation
  by Harnessing Forward Passes

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes

14 February 2024
Myeongseob Ko
Feiyang Kang
Weiyan Shi
Ming Jin
Zhou Yu
Ruoxi Jia
    TDI
ArXivPDFHTML

Papers citing "The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes"

17 / 17 papers shown
Title
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
184
3
0
21 Feb 2025
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
110
196
0
27 May 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms
LAVA: Data Valuation without Pre-Specified Learning Algorithms
H. Just
Feiyang Kang
Jiachen T. Wang
Yi Zeng
Myeongseob Ko
Ming Jin
R. Jia
64
60
0
28 Apr 2023
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
65
94
0
09 Dec 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
155
3,444
0
16 Oct 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
Aleksander Madry
TDI
105
139
0
01 Feb 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
126
1,593
0
20 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
408
15,486
0
20 Dec 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for
  Machine Learning
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Zou
TDI
74
127
0
26 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng
Si-An Chen
Won Park
Z. Morley Mao
Ming Jin
R. Jia
AAML
117
176
0
07 Oct 2021
What Neural Networks Memorize and Why: Discovering the Long Tail via
  Influence Estimation
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman
Chiyuan Zhang
TDI
140
462
0
09 Aug 2020
Influence Functions in Deep Learning Are Fragile
Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
Soheil Feizi
TDI
125
231
0
25 Jun 2020
Estimating Training Data Influence by Tracing Gradient Descent
Estimating Training Data Influence by Tracing Gradient Descent
G. Pruthi
Frederick Liu
Mukund Sundararajan
Satyen Kale
TDI
79
408
0
19 Feb 2020
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
88
541
0
05 Dec 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
571
2,664
0
03 Sep 2019
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
203
2,885
0
14 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
354
7,504
0
02 Dec 2016
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