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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
We Can Detect Your Bias: Predicting the Political Ideology of News
  Articles
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
R. Baly
Giovanni Da San Martino
James R. Glass
Preslav Nakov
86
155
0
11 Oct 2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain
  Adaptation and Label Refinement
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
Peri Akiva
Matthew Purri
Kristin J. Dana
B. Tellman
Tyler Anderson
90
26
0
11 Oct 2020
Unveiling Class-Labeling Structure for Universal Domain Adaptation
Unveiling Class-Labeling Structure for Universal Domain Adaptation
Yueming Yin
Zhen Yang
Xiaofu Wu
Haifeng Hu
29
1
0
10 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning
Voting-based Approaches For Differentially Private Federated Learning
Yuqing Zhu
Xiang Yu
Yi-Hsuan Tsai
Francesco Pittaluga
M. Faraki
Manmohan Chandraker
Yu Wang
FedML
68
22
0
09 Oct 2020
A Cross-Level Information Transmission Network for Predicting Phenotype
  from New Genotype: Application to Cancer Precision Medicine
A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine
Di He
Lei Xie
16
4
0
09 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
75
89
0
09 Oct 2020
Learning Invariant Representations and Risks for Semi-supervised Domain
  Adaptation
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
Yue Liu
Yezhen Wang
Shanghang Zhang
Dongsheng Li
Trevor Darrell
Kurt Keutzer
Han Zhao
OOD
71
96
0
09 Oct 2020
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized
  Distance
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao
Jiaxin Chen
X. Shen
F. Chung
TTA
31
0
0
09 Oct 2020
3D Object Detection and Pose Estimation of Unseen Objects in Color
  Images with Local Surface Embeddings
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
Giorgia Pitteri
Aurélie Bugeau
Slobodan Ilic
Vincent Lepetit
3DPC
61
28
0
08 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally
  Robust Learning Approach
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
Haoxu Wang
Zhiding Yu
Yisong Yue
Anima Anandkumar
Anqi Liu
Junchi Yan
OODUQCV
119
4
0
08 Oct 2020
Revisiting Batch Normalization for Improving Corruption Robustness
Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
110
83
0
07 Oct 2020
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Dominika Woszczyk
Stavros Petridis
David Millard
9
10
0
07 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled
  Data
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
SSL
117
232
0
07 Oct 2020
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral
  filtering
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
OODMedIm
30
11
0
06 Oct 2020
Test-time Unsupervised Domain Adaptation
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky
Mauricio Orbes-Arteaga
Carole H. Sudre
M. Graham
P. Nachev
M. Jorge Cardoso
OOD
62
56
0
05 Oct 2020
Integrating Categorical Semantics into Unsupervised Domain Translation
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie-Marchildon
Faruk Ahmed
Aaron Courville
69
5
0
03 Oct 2020
Hierarchical Domain-Adapted Feature Learning for Video Saliency
  Prediction
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
Giovanni Bellitto
Federica Proietto Salanitri
S. Palazzo
Francesco Rundo
Daniela Giordano
C. Spampinato
MDE
155
56
0
02 Oct 2020
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional
  Object Detection of Threats in X-Ray Images
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images
J. Sigman
Gregory P. Spell
Kevin J. Liang
Lawrence Carin
ObjD
65
18
0
02 Oct 2020
Open Set Domain Adaptation using Optimal Transport
Open Set Domain Adaptation using Optimal Transport
Marwa Kechaou
Romain Hérault
Mokhtar Z. Alaya
Gilles Gasso
OTOOD
31
1
0
02 Oct 2020
Open-Set Hypothesis Transfer with Semantic Consistency
Open-Set Hypothesis Transfer with Semantic Consistency
Zeyu Feng
Chang Xu
Dacheng Tao
60
14
0
01 Oct 2020
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Seongmin Lee
Hyunsik Jeon
U. Kang
OOD
10
1
0
29 Sep 2020
Information Obfuscation of Graph Neural Networks
Information Obfuscation of Graph Neural Networks
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
AAML
130
35
0
28 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
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
78
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
217
743
0
24 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural
  Networks
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu
Mozhi Zhang
Jingling Li
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
MLT
182
313
0
24 Sep 2020
Feature Adaptation of Pre-Trained Language Models across Languages and
  Domains with Robust Self-Training
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
Hai Ye
Qingyu Tan
Ruidan He
Juntao Li
Hwee Tou Ng
Lidong Bing
VLM
56
7
0
24 Sep 2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to
  Unlabeled End-User Data
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
...
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
OOD
77
1
0
22 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics
  (Extended Version)
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
Gautam Raj Mode
K. A. Hoque
AAML
66
19
0
21 Sep 2020
A Novel Transferability Attention Neural Network Model for EEG Emotion
  Recognition
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
Yang Li
Boxun Fu
Fu Li
Guangming Shi
Wenming Zheng
44
87
0
21 Sep 2020
Learning Emotional-Blinded Face Representations
Learning Emotional-Blinded Face Representations
Alejandro Peña
Julian Fierrez
Àgata Lapedriza
Aythami Morales
CVBM
55
13
0
18 Sep 2020
Chemical Property Prediction Under Experimental Biases
Chemical Property Prediction Under Experimental Biases
Yang Liu
H. Kashima
AI4CE
37
1
0
18 Sep 2020
Collaborative Training between Region Proposal Localization and
  Classification for Domain Adaptive Object Detection
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Ganlong Zhao
Guanbin Li
Ruijia Xu
Liang Lin
ObjD
84
105
0
17 Sep 2020
Automated Source Code Generation and Auto-completion Using Deep
  Learning: Comparing and Discussing Current Language-Model-Related Approaches
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Juan Cruz-Benito
Sanjay Vishwakarma
Francisco Martín-Fernández
Ismael Faro Ibm Quantum
66
31
0
16 Sep 2020
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face
  Recognition in Violent Videos
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Yunus Can Bilge
M. K. Yucel
R. G. Cinbis
Nazli Ikizler-Cinbis
Pinar Duygulu
CVBM
12
1
0
16 Sep 2020
Generator Versus Segmentor: Pseudo-healthy Synthesis
Generator Versus Segmentor: Pseudo-healthy Synthesis
Yunlong Zhang
Li Chenxin
Liyan Sun
Xin Lin
Yihong Zhuang
Yue Huang
Ding Xinghao
Xiaoqing Liu
Yizhou Yu
MedIm
45
20
0
12 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
61
36
0
11 Sep 2020
Learning Unbiased Representations via Rényi Minimization
Learning Unbiased Representations via Rényi Minimization
Vincent Grari
Oualid El Hajouji
Sylvain Lamprier
Marcin Detyniecki
FaML
60
21
0
07 Sep 2020
Channel-wise Alignment for Adaptive Object Detection
Channel-wise Alignment for Adaptive Object Detection
Hang Yang
Shan Jiang
Xinge Zhu
Mingyang Huang
Zhiqiang Shen
Chunxiao Liu
Jianping Shi
ObjDOOD
26
3
0
07 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen
Wei-Lun Chao
FedML
92
262
0
04 Sep 2020
Semantically Adaptive Image-to-image Translation for Domain Adaptation
  of Semantic Segmentation
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
Luigi Musto
Andrea Zinelli
VLM
72
37
0
02 Sep 2020
Unsupervised Domain Adaptation For Plant Organ Counting
Unsupervised Domain Adaptation For Plant Organ Counting
Tewodros Ayalew
Jordan R. Ubbens
Ian Stavness
79
26
0
02 Sep 2020
A Survey on Negative Transfer
A Survey on Negative Transfer
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
135
223
0
02 Sep 2020
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Weikai Li
Songcan Chen
65
27
0
01 Sep 2020
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
86
187
0
01 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Yue Liu
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
Kurt Keutzer
133
270
0
01 Sep 2020
Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
OOD
89
208
0
28 Aug 2020
A Flexible Selection Scheme for Minimum-Effort Transfer Learning
A Flexible Selection Scheme for Minimum-Effort Transfer Learning
Amelie Royer
Christoph H. Lampert
43
14
0
27 Aug 2020
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Taotao Jing
Zhengming Ding
98
12
0
27 Aug 2020
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Taotao Jing
Haifeng Xia
Zhengming Ding
60
29
0
27 Aug 2020
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