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Domain-Adversarial Training of Neural Networks
v1v2v3v4 (latest)

Domain-Adversarial Training of Neural Networks

28 May 2015
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
    GANOOD
ArXiv (abs)PDFHTML

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,643 papers shown
Title
Self-Supervised Learning Across Domains
Self-Supervised Learning Across Domains
S. Bucci
A. DÍnnocente
Yujun Liao
Fabio Maria Carlucci
Barbara Caputo
Tatiana Tommasi
SSL
81
77
0
24 Jul 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
123
152
0
24 Jul 2020
Towards Recognizing Unseen Categories in Unseen Domains
Towards Recognizing Unseen Categories in Unseen Domains
Massimiliano Mancini
Zeynep Akata
Elisa Ricci
Barbara Caputo
VLM
148
101
0
23 Jul 2020
Augmentation adversarial training for self-supervised speaker
  recognition
Augmentation adversarial training for self-supervised speaker recognition
Jaesung Huh
Hee-Soo Heo
Jingu Kang
Shinji Watanabe
Joon Son Chung
SSL
126
76
0
23 Jul 2020
Accounting for Unobserved Confounding in Domain Generalization
Accounting for Unobserved Confounding in Domain Generalization
Alexis Bellot
M. Schaar
CMLOOD
93
23
0
21 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity
  Learning
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou
Zhuqing Jiang
Changjian Shui
Boyu Wang
B. Chaib-draa
OOD
107
56
0
21 Jul 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
Ke Wu
106
28
0
19 Jul 2020
Hypersolvers: Toward Fast Continuous-Depth Models
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli
Stefano Massaroli
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
BDLAI4CE
72
47
0
19 Jul 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain
  Generalization
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Shujun Wang
Lequan Yu
Caizi Li
Chi-Wing Fu
Pheng-Ann Heng
OOD
87
195
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
21
0
0
18 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
95
112
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
51
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
73
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
74
69
0
15 Jul 2020
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for
  Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
C. Schockaert
Henri Hoyez
AI4TS
15
6
0
15 Jul 2020
Supervised learning from noisy observations: Combining machine-learning
  techniques with data assimilation
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation
Georg Gottwald
Sebastian Reich
AI4CE
58
63
0
14 Jul 2020
UDBNET: Unsupervised Document Binarization Network via Adversarial Game
UDBNET: Unsupervised Document Binarization Network via Adversarial Game
Amandeep Kumar
S. Ghose
Pinaki Nath Chowdhury
P. Roy
Umapada Pal
100
12
0
14 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
81
68
0
14 Jul 2020
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for
  Context-Aware Parking Availability Sensing
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing
Wei Shao
Sichen Zhao
Zhen Zhang
Shiyu Wang
Mohammad Saiedur Rahaman
A. Song
Flora D. Salim
20
18
0
13 Jul 2020
Pose-aware Adversarial Domain Adaptation for Personalized Facial
  Expression Recognition
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition
Guang Liang
Shangfei Wang
Can Wang
CVBM
79
6
0
12 Jul 2020
Untapped Potential of Data Augmentation: A Domain Generalization
  Viewpoint
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla
Shiv Shankar
ViT
78
0
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
94
163
0
08 Jul 2020
Scribble-based Domain Adaptation via Co-segmentation
Scribble-based Domain Adaptation via Co-segmentation
Reuben Dorent
Samuel Joutard
J. Shapey
Sotirios Bisdas
N. Kitchen
R. Bradford
S. Saeed
Marc Modat
Sebastien Ourselin
Tom Vercauteren
OOD
81
47
0
07 Jul 2020
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
155
456
0
07 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
59
168
0
07 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
68
64
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
27
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
164
125
0
05 Jul 2020
On the application of transfer learning in prognostics and health
  management
On the application of transfer learning in prognostics and health management
R. Moradi
K. Groth
18
9
0
03 Jul 2020
Continuously Indexed Domain Adaptation
Continuously Indexed Domain Adaptation
Hao Wang
Hao He
Dina Katabi
MedIm
71
117
0
03 Jul 2020
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Zhenwei He
Lei Zhang
ObjD
74
136
0
03 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
114
1,158
0
02 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic
  Signal Control
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control
Jinqiu Guo
23
1
0
02 Jul 2020
Rethink Maximum Mean Discrepancy for Domain Adaptation
Rethink Maximum Mean Discrepancy for Domain Adaptation
Wei Wang
Haojie Li
Zhengming Ding
Zhihui Wang
41
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
27
0
0
01 Jul 2020
Overcoming Concept Shift in Domain-Aware Settings through Consolidated
  Internal Distributions
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
Mohammad Rostami
Aram Galstyan
CLLOffRL
70
27
0
01 Jul 2020
Unsupervised Calibration under Covariate Shift
Unsupervised Calibration under Covariate Shift
Anusri Pampari
Stefano Ermon
129
18
0
29 Jun 2020
Adversarial Multi-Source Transfer Learning in Healthcare: Application to
  Glucose Prediction for Diabetic People
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
Maxime De Bois
M. El-Yacoubi
M. Ammi
OODMedIm
48
36
0
29 Jun 2020
Uncertainty-aware multi-view co-training for semi-supervised medical
  image segmentation and domain adaptation
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Yingda Xia
Ke Wang
Zhiding Yu
Fengze Liu
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
OOD
74
214
0
28 Jun 2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain
  Adaptation
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Wenhui Yu
Xiao Lin
Junfeng Ge
Wenwu Ou
Zheng Qin
54
41
0
28 Jun 2020
A causal view of compositional zero-shot recognition
A causal view of compositional zero-shot recognition
Yuval Atzmon
Felix Kreuk
Uri Shalit
Gal Chechik
OCLBDLCML
111
125
0
25 Jun 2020
Newton-type Methods for Minimax Optimization
Newton-type Methods for Minimax Optimization
Guojun Zhang
Kaiwen Wu
Pascal Poupart
Yaoliang Yu
88
24
0
25 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
28
6
0
25 Jun 2020
Training Variational Networks with Multi-Domain Simulations:
  Speed-of-Sound Image Reconstruction
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Mélanie Bernhardt
V. Vishnevskiy
R. Rau
O. Goksel
OOD
54
23
0
25 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets
  Transferability
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Yassine Ouali
Victor Bouvier
Myriam Tami
C´eline Hudelot
OOD
55
3
0
25 Jun 2020
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for
  Predicting Financial Outcomes
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes
Marina Sedinkina
Nikolas Breitkopf
Hinrich Schütze
33
15
0
25 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain
  Classifiers
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach
Swapnil Asawa
Shreyas Chaudhari
Sergey Levine
Ruslan Salakhutdinov
106
94
0
24 Jun 2020
Rethinking Distributional Matching Based Domain Adaptation
Rethinking Distributional Matching Based Domain Adaptation
Yue Liu
Yezhen Wang
Tong Che
Shanghang Zhang
Sicheng Zhao
Pengfei Xu
Wei Zhou
Yoshua Bengio
Kurt Keutzer
OOD
91
60
0
23 Jun 2020
Rescaling Egocentric Vision
Rescaling Egocentric Vision
Dima Damen
Hazel Doughty
G. Farinella
Antonino Furnari
Evangelos Kazakos
...
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
EgoV
135
468
0
23 Jun 2020
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain
  Adaptation
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
Li Zhong
Zhen Fang
Feng Liu
Bo Yuan
Guangquan Zhang
Jie Lu
AAML
78
78
0
23 Jun 2020
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