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Input Similarity from the Neural Network Perspective

Input Similarity from the Neural Network Perspective

10 February 2021
Guillaume Charpiat
N. Girard
Loris Felardos
Y. Tarabalka
ArXivPDFHTML

Papers citing "Input Similarity from the Neural Network Perspective"

16 / 16 papers shown
Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
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
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
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
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
41
2
0
24 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
36
3
0
06 Oct 2024
Adversarial Attacks on Data Attribution
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
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
63
1
0
13 Jul 2024
Intriguing Properties of Data Attribution on Diffusion Models
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
A Cosine Similarity-based Method for Out-of-Distribution Detection
A Cosine Similarity-based Method for Out-of-Distribution Detection
Nguyen Ngoc-Hieu
Nguyen Hung-Quang
The-Anh Ta
Thanh Nguyen-Tang
Khoa D. Doan
Hoang Thanh-Tung
OODD
21
2
0
23 Jun 2023
Supervision Complexity and its Role in Knowledge Distillation
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
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
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
38
131
0
01 Feb 2022
Revisiting Methods for Finding Influential Examples
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
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
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
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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