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Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
v1v2v3v4 (latest)

Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation

13 July 2021
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
ArXiv (abs)PDFHTMLGithub (269★)

Papers citing "Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation"

42 / 42 papers shown
Title
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
213
2
0
15 Feb 2025
Self-Regulated Learning for Egocentric Video Activity Anticipation
Self-Regulated Learning for Egocentric Video Activity Anticipation
Zhaobo Qi
Shuhui Wang
Chi Su
Li Su
Qingming Huang
Q. Tian
EgoV
115
52
0
23 Nov 2021
Heuristic Domain Adaptation
Heuristic Domain Adaptation
Shuhao Cui
Xuan Jin
Shuhui Wang
Yuan He
Qingming Huang
107
49
0
30 Nov 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Q. Tian
123
246
0
30 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
81
367
0
27 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
113
1,250
0
20 Feb 2020
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Minghao Chen
Hongyang Xue
Deng Cai
82
288
0
30 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
348
795
0
26 Aug 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
207
1,953
0
06 Jun 2019
Unsupervised Open Domain Recognition by Semantic Discrepancy
  Minimization
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
Junbao Zhuo
Shuhui Wang
Shuhao Cui
Qingming Huang
61
35
0
18 Apr 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
78
622
0
13 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
83
713
0
11 Apr 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
Domain-Symmetric Networks for Adversarial Domain Adaptation
Yabin Zhang
Hui Tang
Kui Jia
Mingkui Tan
OOD
71
323
0
09 Apr 2019
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
143
1,809
0
04 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
133
1,298
0
30 Nov 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric Xing
170
306
0
29 May 2018
Transductive Unbiased Embedding for Zero-Shot Learning
Transductive Unbiased Embedding for Zero-Shot Learning
Mingli Song
Chengchao Shen
Yezhou Yang
Yang Liu
Xiuming Zhang
65
197
0
30 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
152
589
0
21 Mar 2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with
  Category Shift
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu
Ziliang Chen
W. Zuo
Junjie Yan
Liang Lin
OOD
71
391
0
02 Mar 2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation:
  the Benefit of Target Expectation Maximization
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
Guoliang Kang
Liang Zheng
Yan Yan
Yi Yang
OOD
76
122
0
30 Jan 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
98
1,796
0
07 Dec 2017
Unsupervised Domain Adaptation with Similarity Learning
Unsupervised Domain Adaptation with Similarity Learning
Pedro H. O. Pinheiro
SSLOOD
106
270
0
24 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
147
3,002
0
08 Nov 2017
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
72
286
0
05 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
66
242
0
01 Nov 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
147
2,057
0
22 Jun 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for
  Unsupervised Domain Adaptation
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan
Yukang Ding
P. Li
Qilong Wang
Yong-mei Xu
W. Zuo
93
576
0
01 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
151
2,738
0
13 Apr 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GANOOD
117
651
0
06 Apr 2017
Zero-Shot Learning -- The Good, the Bad and the Ugly
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian
Bernt Schiele
Zeynep Akata
77
843
0
13 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
270
4,672
0
17 Feb 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,567
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
654
29,154
0
09 Sep 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,165
0
06 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
96
2,459
0
21 May 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
93
1,491
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
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
GANOOD
384
9,515
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,211
0
10 Feb 2015
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
254
1,140
0
25 Jul 2012
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
419
3,771
0
28 Jun 2007
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