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Towards Trustworthy Unsupervised Domain Adaptation: A Representation
  Learning Perspective for Enhancing Robustness, Discrimination, and
  Generalization

Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization

19 June 2024
Jia-Li Yin
Haoyuan Zheng
Ximeng Liu
    AAML
ArXivPDFHTML

Papers citing "Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization"

3 / 3 papers shown
Title
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning
  Inverse Gram Matrices
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
Ismail Nejjar
Qin Wang
Olga Fink
41
30
0
23 Mar 2023
Backdoor Defense via Deconfounded Representation Learning
Backdoor Defense via Deconfounded Representation Learning
Zaixin Zhang
Qi Liu
Zhicai Wang
Zepu Lu
Qingyong Hu
AAML
49
39
0
13 Mar 2023
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for
  Improving Adversarial Training
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Junhao Dong
Seyed-Mohsen Moosavi-Dezfooli
Jianhuang Lai
Xiaohua Xie
AAML
35
28
0
01 Nov 2022
1