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Influence Estimation for Generative Adversarial Networks

Influence Estimation for Generative Adversarial Networks

20 January 2021
Naoyuki Terashita
Hiroki Ohashi
Yuichi Nonaka
T. Kanemaru
    TDI
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Papers citing "Influence Estimation for Generative Adversarial Networks"

6 / 6 papers shown
Title
Data Cleansing for GANs
Data Cleansing for GANs
Naoyuki Terashita
Hiroki Ohashi
Satoshi Hara
AAML
56
0
0
01 Apr 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
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
Adapting and Evaluating Influence-Estimation Methods for
  Gradient-Boosted Decision Trees
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
Jonathan Brophy
Zayd Hammoudeh
Daniel Lowd
TDI
27
22
0
30 Apr 2022
On Memorization in Probabilistic Deep Generative Models
On Memorization in Probabilistic Deep Generative Models
G. V. D. Burg
Christopher K. I. Williams
TDI
25
59
0
06 Jun 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
174
1,940
0
24 Oct 2016
1