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Deep Domain Confusion: Maximizing for Domain Invariance

Deep Domain Confusion: Maximizing for Domain Invariance

10 December 2014
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deep Domain Confusion: Maximizing for Domain Invariance"

50 / 959 papers shown
Title
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Seongmin Lee
Hyunsik Jeon
U. Kang
OOD
18
1
0
29 Sep 2020
Domain Adversarial Fine-Tuning as an Effective Regularizer
Domain Adversarial Fine-Tuning as an Effective Regularizer
Giorgos Vernikos
Katerina Margatina
Alexandra Chronopoulou
Ion Androutsopoulos
70
15
0
28 Sep 2020
Scalable Transfer Learning with Expert Models
Scalable Transfer Learning with Expert Models
J. Puigcerver
C. Riquelme
Basil Mustafa
Cédric Renggli
André Susano Pinto
Sylvain Gelly
Daniel Keysers
N. Houlsby
140
65
0
28 Sep 2020
Domain Generalization via Semi-supervised Meta Learning
Domain Generalization via Semi-supervised Meta Learning
Hossein Sharifi-Noghabi
Hossein Asghari
Nazanin Mehrasa
Martin Ester
OOD
64
11
0
26 Sep 2020
Deep Adversarial Transition Learning using Cross-Grafted Generative
  Stacks
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou
Xuejie Ding
Stephen Cranefield
Jeremiah D. Deng
GAN
95
7
0
25 Sep 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
  Survey
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
265
744
0
24 Sep 2020
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
Bin Zhang
Cen Chen
Li Wang
25
6
0
24 Sep 2020
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain
  Adaptation
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
72
36
0
11 Sep 2020
Adversarial Learning for Zero-shot Domain Adaptation
Adversarial Learning for Zero-shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
85
15
0
11 Sep 2020
Longitudinal Image Registration with Temporal-order and
  Subject-specificity Discrimination
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Qianye Yang
Yunguan Fu
F. Giganti
N. Ghavami
Qingchao Chen
J. A. Noble
Tom Vercauteren
D. Barratt
Yipeng Hu
59
8
0
29 Aug 2020
Cross-regional oil palm tree counting and detection via multi-level
  attention domain adaptation network
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
Juepeng Zheng
Haohuan Fu
Weijia Li
Wenzhao Wu
Yi Zhao
Runmin Dong
Le Yu
68
67
0
26 Aug 2020
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren
Pengfei Ge
Peiyi Yang
Shuicheng Yan
164
44
0
25 Aug 2020
Domain Adaptation of Learned Features for Visual Localization
Domain Adaptation of Learned Features for Visual Localization
Sungyong Baik
Hyo Jin Kim
Tianwei Shen
Eddy Ilg
Kyoung Mu Lee
Chris Sweeney
OOD
92
6
0
21 Aug 2020
Unsupervised Cross-domain Image Classification by Distance Metric Guided
  Feature Alignment
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Qingjie Meng
Daniel Rueckert
Bernhard Kainz
OOD
49
14
0
19 Aug 2020
Network Architecture Search for Domain Adaptation
Network Architecture Search for Domain Adaptation
Yichen Li
Xingchao Peng
OOD
93
15
0
13 Aug 2020
Learning to Cluster under Domain Shift
Learning to Cluster under Domain Shift
Willi Menapace
Stéphane Lathuilière
Elisa Ricci
OOD
73
14
0
11 Aug 2020
Unravelling Small Sample Size Problems in the Deep Learning World
Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari
Soumyadeep Ghosh
S. Chhabra
Mayank Vatsa
Richa Singh
113
33
0
08 Aug 2020
Hard Class Rectification for Domain Adaptation
Hard Class Rectification for Domain Adaptation
Yunlong Zhang
Changxing Jing
Huangxing Lin
Chaoqi Chen
Yue Huang
Xinghao Ding
Yang Zou
60
11
0
08 Aug 2020
Associative Partial Domain Adaptation
Associative Partial Domain Adaptation
Youngeun Kim
Sungeun Hong
Seunghan Yang
Sungil Kang
Yunho Jeon
Jiwon Kim
115
7
0
07 Aug 2020
A Novel Method For Designing Transferable Soft Sensors And Its
  Application
A Novel Method For Designing Transferable Soft Sensors And Its Application
Hossein Shahabadi Farahani
A. Fatehi
Alireza Nadali
M. A. Shoorehdeli
AAML
48
7
0
05 Aug 2020
Simultaneous Semantic Alignment Network for Heterogeneous Domain
  Adaptation
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
Shuang Li
Binhui Xie
Jiashu Wu
Ying Zhao
Chi Harold Liu
Zhengming Ding
86
50
0
04 Aug 2020
Shape Consistent 2D Keypoint Estimation under Domain Shift
Shape Consistent 2D Keypoint Estimation under Domain Shift
Levi O. Vasconcelos
Massimiliano Mancini
Davide Boscaini
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
MDEOOD3DPC
41
2
0
04 Aug 2020
Class-Incremental Domain Adaptation
Class-Incremental Domain Adaptation
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
CLL
74
51
0
04 Aug 2020
Learning Task-oriented Disentangled Representations for Unsupervised
  Domain Adaptation
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Pingyang Dai
Peixian Chen
Qiong Wu
Xiaopeng Hong
QiXiang Ye
Q. Tian
Rongrong Ji
OOD
45
0
0
27 Jul 2020
Dual Distribution Alignment Network for Generalizable Person
  Re-Identification
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen
Pingyang Dai
Jianzhuang Liu
Feng Zheng
Q. Tian
Rongrong Ji
OOD
132
47
0
27 Jul 2020
Developing Personalized Models of Blood Pressure Estimation from
  Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural
  Networks
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
Lida Zhang
N. Hurley
Bassem Ibrahim
E. Spatz
H. Krumholz
R. Jafari
B. Mortazavi
AAMLOOD
54
20
0
24 Jul 2020
Deep Co-Training with Task Decomposition for Semi-Supervised Domain
  Adaptation
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
Luyu Yang
Yan Wang
M. Gao
Abhinav Shrivastava
Kilian Q. Weinberger
Wei-Lun Chao
Ser-Nam Lim
OOD
117
76
0
24 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
110
238
0
18 Jul 2020
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for
  Domain-specific Hidden Representation Matching
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching
Rongzhe Wei
Fa Zhang
Bo Dong
Q. Zheng
23
0
0
18 Jul 2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Xingchao Peng
Yichen Li
Kate Saenko
69
35
0
17 Jul 2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain
  Adaptation
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Hang Wang
Minghao Xu
Bingbing Ni
Wenjun Zhang
99
113
0
17 Jul 2020
Learning to Match Distributions for Domain Adaptation
Learning to Match Distributions for Domain Adaptation
Chaohui Yu
Jindong Wang
Chang-Shu Liu
Tao Qin
Renjun Xu
Wenjie Feng
Yiqiang Chen
Tie-Yan Liu
OOD
61
7
0
17 Jul 2020
Transferable Calibration with Lower Bias and Variance in Domain
  Adaptation
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang
Mingsheng Long
Jianmin Wang
Michael I. Jordan
85
54
0
16 Jul 2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised
  Learning baseline for Unsupervised Domain Adaptation
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
85
69
0
15 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
91
68
0
14 Jul 2020
Representation Transfer by Optimal Transport
Representation Transfer by Optimal Transport
Xuhong Li
Yves Grandvalet
Rémi Flamary
Nicolas Courty
Dejing Dou
OT
71
8
0
13 Jul 2020
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image
  Classification
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Francisco Utrera
Evan Kravitz
N. Benjamin Erichson
Rekha Khanna
Michael W. Mahoney
GAN
108
33
0
11 Jul 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu
Diana Inkpen
Ahmed El-Roby
70
169
0
07 Jul 2020
Are Labels Always Necessary for Classifier Accuracy Evaluation?
Are Labels Always Necessary for Classifier Accuracy Evaluation?
Weijian Deng
Liang Zheng
74
118
0
06 Jul 2020
Learning a Domain Classifier Bank for Unsupervised Adaptive Object
  Detection
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
Sanli Tang
Zhanzhan Cheng
Shiliang Pu
Dashan Guo
Yi Niu
Leilei Gan
35
2
0
06 Jul 2020
Contextual-Relation Consistent Domain Adaptation for Semantic
  Segmentation
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
Jiaxing Huang
Shijian Lu
Dayan Guan
Xiaobing Zhang
171
125
0
05 Jul 2020
Continuously Indexed Domain Adaptation
Continuously Indexed Domain Adaptation
Hao Wang
Hao He
Dina Katabi
MedIm
87
118
0
03 Jul 2020
Domain Adaptation without Source Data
Domain Adaptation without Source Data
Youngeun Kim
Donghyeon Cho
Kyeongtak Han
Priyadarshini Panda
Sungeun Hong
TTA
122
180
0
03 Jul 2020
Rethink Maximum Mean Discrepancy for Domain Adaptation
Rethink Maximum Mean Discrepancy for Domain Adaptation
Wei Wang
Haojie Li
Zhengming Ding
Zhihui Wang
46
24
0
01 Jul 2020
Adversarial Network with Multiple Classifiers for Open Set Domain
  Adaptation
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
Tasfia Shermin
Guojun Lu
S. Teng
Manzur Murshed
Ferdous Sohel
55
0
0
01 Jul 2020
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer
  with Imbalanced Ultrasound Imaging Modalities
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
Han Xiangmin
Wang Jun
Z. Weijun
Chang Cai
Ying Shihui
Shi Jun
13
16
0
29 Jun 2020
Between-Domain Instance Transition Via the Process of Gibbs Sampling in
  RBM
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM
Hossein Shahabadi Farahani
A. Fatehi
M. A. Shoorehdeli
30
6
0
25 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal
  Transport
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport
Rosanna Turrisi
Rémi Flamary
A. Rakotomamonjy
Massimiliano Pontil
OT
74
32
0
23 Jun 2020
Progressive Graph Learning for Open-Set Domain Adaptation
Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo
Zijian Wang
Zi Huang
Mahsa Baktash
OOD
105
96
0
22 Jun 2020
Feature Alignment and Restoration for Domain Generalization and
  Adaptation
Feature Alignment and Restoration for Domain Generalization and Adaptation
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
92
40
0
22 Jun 2020
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