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DART: A Principled Approach to Adversarially Robust Unsupervised Domain
  Adaptation

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

16 February 2024
Yunjuan Wang
Hussein Hazimeh
Natalia Ponomareva
Alexey Kurakin
Ibrahim Hammoud
Raman Arora
    OOD
    AAML
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Papers citing "DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation"

4 / 4 papers shown
Title
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
655
0
23 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
786
0
19 Feb 2009
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