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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
Estimating Conditional Average Treatment Effects with Missing Treatment
  Information
Estimating Conditional Average Treatment Effects with Missing Treatment Information
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
57
6
0
02 Mar 2022
Rethinking Pretraining as a Bridge from ANNs to SNNs
Rethinking Pretraining as a Bridge from ANNs to SNNs
Yihan Lin
Yifan Hu
Shiji Ma
Guo-Qi Li
Dongjie Yu
69
12
0
02 Mar 2022
ParaPose: Parameter and Domain Randomization Optimization for Pose
  Estimation using Synthetic Data
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
Frederik Hagelskjær
A. Buch
OOD
76
9
0
02 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
91
13
0
01 Mar 2022
Towards IID representation learning and its application on biomedical
  data
Towards IID representation learning and its application on biomedical data
Jiqing Wu
I. Zlobec
Maxime W. Lafarge
Yukun He
V. Koelzer
OODCML
41
4
0
01 Mar 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Dongwan Kim
Yi-Hsuan Tsai
Yumin Suh
M. Faraki
Sparsh Garg
Manmohan Chandraker
Bohyung Han
52
21
0
28 Feb 2022
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain
  Adaptation
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation
Xu Ma
Junkun Yuan
Yen-wei Chen
Ruofeng Tong
Lanfen Lin
51
12
0
27 Feb 2022
DAGAM: A Domain Adversarial Graph Attention Model for Subject
  Independent EEG-Based Emotion Recognition
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition
Tao Xu
Wang Dang
Jiabao Wang
Yun Zhou
52
35
0
27 Feb 2022
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
102
7
0
26 Feb 2022
Continuous Human Action Recognition for Human-Machine Interaction: A
  Review
Continuous Human Action Recognition for Human-Machine Interaction: A Review
Harshala Gammulle
David Ahmedt-Aristizabal
Simon Denman
Lachlan Tychsen-Smith
L. Petersson
Clinton Fookes
124
28
0
26 Feb 2022
Combining Observational and Randomized Data for Estimating Heterogeneous
  Treatment Effects
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
M. Schaar
CML
90
32
0
25 Feb 2022
Improving generalization with synthetic training data for deep learning
  based quality inspection
Improving generalization with synthetic training data for deep learning based quality inspection
Antoine Cordier
Pierre Gutierrez
Victoire Plessis
98
3
0
25 Feb 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
114
28
0
24 Feb 2022
Temporal Convolution Domain Adaptation Learning for Crops Growth
  Prediction
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
Sheng Wang
Ling Wang
Zhihao Lin
Xi Zheng
13
1
0
24 Feb 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
124
107
0
24 Feb 2022
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human
  Decomposition Images
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images
Sara Mousavi
Zhen Yang
Kelley Cross
D. Steadman
A. Mockus
26
0
0
24 Feb 2022
Towards Unsupervised Domain Adaptation via Domain-Transformer
Towards Unsupervised Domain Adaptation via Domain-Transformer
Chuan-Xian Ren
Yiteng Zhai
You-Wei Luo
Meng Li
ViT
74
9
0
24 Feb 2022
Adversarially-regularized mixed effects deep learning (ARMED) models for
  improved interpretability, performance, and generalization on clustered data
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data
K. Nguyen
A. Montillo
FedMLAAML
72
10
0
23 Feb 2022
Augmentation based unsupervised domain adaptation
Augmentation based unsupervised domain adaptation
Mauricio Orbes-Arteaga
Thomas Varsavsky
Lauge Sørensen
Mads Nielsen
A. Pai
Sebastien Ourselin
Marc Modat
Jorge Cardoso
OOD
42
3
0
23 Feb 2022
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Chuan-Xian Ren
Yong-Jin Liu
Xiwen Zhang
Ke-Kun Huang
AAMLOOD
66
93
0
22 Feb 2022
Toward More Generalized Malicious URL Detection Models
Toward More Generalized Malicious URL Detection Models
Yun-Da Tsai
Cayon Liow
Yin Sheng Siang
Shou-De Lin
44
13
0
21 Feb 2022
Domain-Augmented Domain Adaptation
Domain-Augmented Domain Adaptation
Qiuhao Zeng
Tianze Luo
Boyu Wang
72
2
0
21 Feb 2022
Priming Cross-Session Motor Imagery Classification with A Universal Deep
  Domain Adaptation Framework
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
Zhengqing Miao
Xin Zhang
C. Menon
Yelong Zheng
Mei-rong Zhao
Dong Ming
76
19
0
19 Feb 2022
Going Deeper into Recognizing Actions in Dark Environments: A
  Comprehensive Benchmark Study
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study
Yuecong Xu
Jianfei Yang
Haozhi Cao
Jianxiong Yin
Zhenghua Chen
Xiaoli Li
Zhengguo Li
Qiaoqiao Xu
70
2
0
19 Feb 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian
  Perspective
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang
Lei Zhang
Pichao Wang
72
25
0
19 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain
  Adaptation
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation
Shao-Yuan Lo
Vishal M. Patel
AAML
85
8
0
18 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODCML
125
102
0
16 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Yuqing Du
Daniel Ho
Alexander A. Alemi
Eric Jang
Mohi Khansari
SSL
68
12
0
15 Feb 2022
Disentangling Domain and Content
Disentangling Domain and Content
Dan-Andrei Iliescu
A. Mikhailiuk
Damon J. Wischik
Rafał K. Mantiuk
DRL
37
0
0
15 Feb 2022
Sim-to-Real Domain Adaptation for Lane Detection and Classification in
  Autonomous Driving
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
Chuqing Hu
Sinclair Hudson
Martin Ethier
Mohammad K. Al-Sharman
Derek Rayside
W. Melek
108
33
0
15 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient
  for Out-of-Distribution Generalization
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
86
82
0
14 Feb 2022
A Differential Entropy Estimator for Training Neural Networks
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
163
23
0
14 Feb 2022
PR-PL: A Novel Transfer Learning Framework with Prototypical
  Representation based Pairwise Learning for EEG-Based Emotion Recognition
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
Rushuang Zhou
Zhiguo Zhang
Hong Fu
Li Zhang
Linling Li
G. Huang
Yining Dong
Fali Li
Xinhong Yang
Zhen Liang
72
8
0
14 Feb 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OODOT
90
10
0
13 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
97
34
0
13 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu
Zitong Yang
Alexander Wei
Yi-An Ma
Jacob Steinhardt
OODD
81
44
0
11 Feb 2022
Positive-Unlabeled Domain Adaptation
Positive-Unlabeled Domain Adaptation
Jonas Sonntag
Gunnar Behrens
Lars Schmidt-Thieme
43
3
0
11 Feb 2022
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG
  Learning for Emotion Recognition
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
Guangyi Zhang
Vandad Davoodnia
Ali Etemad
73
45
0
11 Feb 2022
Domain Adversarial Training: A Game Perspective
Domain Adversarial Training: A Game Perspective
David Acuna
M. Law
Guojun Zhang
Sanja Fidler
47
11
0
10 Feb 2022
Collaborative Filtering with Attribution Alignment for Review-based
  Non-overlapped Cross Domain Recommendation
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation
Weiming Liu
Xiaolin Zheng
Mengling Hu
Chaochao Chen
28
54
0
10 Feb 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems
  Perspective
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective
Erfan Al-Hossami
Samira Shaikh
65
6
0
10 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better
  Transferability
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
94
75
0
09 Feb 2022
Verification-Aided Deep Ensemble Selection
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
114
18
0
08 Feb 2022
Robust Hybrid Learning With Expert Augmentation
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
88
8
0
08 Feb 2022
Graph-Relational Domain Adaptation
Graph-Relational Domain Adaptation
Zihao Xu
Hao He
Guang-He Lee
Yuyang Wang
Hao Wang
OOD
79
28
0
08 Feb 2022
Integrated Multiscale Domain Adaptive YOLO
Integrated Multiscale Domain Adaptive YOLO
Mazin Hnewa
H. Radha
68
41
0
07 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
288
66
0
07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors
Fair Interpretable Representation Learning with Correction Vectors
Mattia Cerrato
A. Coronel
Marius Köppel
A. Segner
Roberto Esposito
Stefan Kramer
FaML
56
5
0
07 Feb 2022
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin
  Lesion Classification
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Peter J. Bevan
Amir Atapour-Abarghouei
69
31
0
06 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
  Time-Series
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan O. Arik
Nathanael Yoder
Tomas Pfister
TTAAI4TS
52
21
0
04 Feb 2022
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