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2102.05262
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Input Similarity from the Neural Network Perspective
10 February 2021
Guillaume Charpiat
N. Girard
Loris Felardos
Y. Tarabalka
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Papers citing
"Input Similarity from the Neural Network Perspective"
15 / 15 papers shown
Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
Shinnosuke Saito
Takashi Matsubara
DiffM
82
1
0
28 Apr 2025
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
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
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
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
36
3
0
06 Oct 2024
Adversarial Attacks on Data Attribution
Xinhe Wang
Pingbang Hu
Junwei Deng
Jiaqi W. Ma
TDI
58
0
0
09 Sep 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
60
1
0
13 Jul 2024
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng
Tianyu Pang
Chao Du
Jing Jiang
Min-Bin Lin
TDI
34
20
1
01 Nov 2023
Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan
A. S. Rawat
A. Menon
Seungyeon Kim
Surinder Kumar
22
12
0
28 Jan 2023
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky
Viktor Andersson
Balázs Kulcsár
Rebecka Jörnsten
37
5
0
25 May 2022
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
38
130
0
01 Feb 2022
Revisiting Methods for Finding Influential Examples
Karthikeyan K
Anders Søgaard
TDI
14
30
0
08 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
16
20
0
04 Nov 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
38
204
0
07 Sep 2021
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping
Liam H. Fowl
Yifan Jiang
W. Czaja
Gavin Taylor
Michael Moeller
Tom Goldstein
AAML
19
215
0
04 Sep 2020
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