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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
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain
  Prerequisite Chains
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
Irene Li
Vanessa Yan
Dragomir R. Radev
GNNBDL
49
3
0
17 Sep 2021
On the inductive biases of deep domain adaptation
On the inductive biases of deep domain adaptation
Rodrigue Siry
Louis Hémadou
Loïc Simon
F. Jurie
72
3
0
16 Sep 2021
Topic Transferable Table Question Answering
Topic Transferable Table Question Answering
Saneem A. Chemmengath
Vishwajeet Kumar
Samarth Bharadwaj
Jaydeep Sen
Mustafa Canim
Soumen Chakrabarti
A. Gliozzo
Karthik Sankaranarayanan
OOD
96
11
0
15 Sep 2021
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot
  Cross-Lingual Information Extraction
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
M. Yarmohammadi
Shijie Wu
Marc Marone
Haoran Xu
Seth Ebner
...
Craig Harman
Kenton W. Murray
Aaron Steven White
Mark Dredze
Benjamin Van Durme
76
30
0
14 Sep 2021
ImUnity: a generalizable VAE-GAN solution for multicenter MR image
  harmonization
ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
Stenzel Cackowski
E. Barbier
M. Dojat
T. Christen
90
34
0
14 Sep 2021
Foreground Object Structure Transfer for Unsupervised Domain Adaptation
Foreground Object Structure Transfer for Unsupervised Domain Adaptation
Jieren Cheng
Le Liu
Xiangyan Tang
Wenxuan Tu
Boyi Liu
Ke Zhou
Qiaobo Da
Yue Yang
116
1
0
14 Sep 2021
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea
  Segmentation
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
Han Liu
Yubo Fan
C. Cui
Dingjie Su
A. McNeil
Benoit M. Dawant
80
2
0
13 Sep 2021
Cross Domain Robot Imitation with Invariant Representation
Cross Domain Robot Imitation with Invariant Representation
Zhao-Heng Yin
Lingfeng Sun
Hengbo Ma
Masayoshi Tomizuka
Wu-Jun Li
64
14
0
13 Sep 2021
Task Guided Compositional Representation Learning for ZDA
Task Guided Compositional Representation Learning for ZDA
Shuang Liu
Mete Ozay
OOD
76
0
0
13 Sep 2021
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Kazuma Fujii
Hiroshi Kera
K. Kawamoto
ObjDAAML
79
3
0
13 Sep 2021
Unsupervised domain adaptation for cross-modality liver segmentation via
  joint adversarial learning and self-learning
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
Jin Hong
S. Yu
Weitian Chen
OODMedIm
63
83
0
13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
198
75
0
12 Sep 2021
Unsupervised Domain Adaptive Learning via Synthetic Data for Person
  Re-identification
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification
Qi. Wang
Sikai Bai
Junyuan Gao
Yuan. Yuan
Xuelong Li
75
2
0
12 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers
Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi
Lan Wang
Vishnu Boddeti
64
5
0
12 Sep 2021
Domain Adaptation by Maximizing Population Correlation with Neural
  Architecture Search
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
Zhixiong Yue
Pengxin Guo
Yu Zhang
61
1
0
12 Sep 2021
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Dengxin Dai
D. Paudel
Ajad Chhatkuli
Feng Yu
Luc Van Gool
72
9
0
10 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
90
1
0
09 Sep 2021
Generation, augmentation, and alignment: A pseudo-source domain based
  method for source-free domain adaptation
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
Yuntao Du
Haiyang Yang
Mingcai Chen
Juan Jiang
Hongtao Luo
Chongjun Wang
TTA
102
31
0
09 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
95
14
0
09 Sep 2021
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain
  Adaptation
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Gengxin Xu
Chen Liu
Jun Liu
Z. Ding
F. Shi
...
Xiaoming Li
Ying Wei
Yaozong Gao
Chuan-Xian Ren
Dinggang Shen
OOD
82
36
0
08 Sep 2021
Referee: Towards reference-free cross-speaker style transfer with
  low-quality data for expressive speech synthesis
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis
Songxiang Liu
Shan Yang
Dan Su
Dong Yu
AI4TS
62
10
0
08 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning
On Characterizing the Trade-off in Invariant Representation Learning
Bashir Sadeghi
Sepehr Dehdashtian
Vishnu Boddeti
113
7
0
08 Sep 2021
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
Bin Sun
Shaofan Wang
Dehui Kong
Jinghua Li
Baocai Yin
69
1
0
07 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
146
210
0
07 Sep 2021
Improving Transferability of Domain Adaptation Networks Through Domain
  Alignment Layers
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
Lucas Fernando Alvarenga e Silva
Daniel Carlos Guimarães Pedronette
F. Faria
João Paulo Papa
Jurandy Almeida
27
5
0
06 Sep 2021
Bridging the Gap between Events and Frames through Unsupervised Domain
  Adaptation
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
Nico Messikommer
Daniel Gehrig
Mathias Gehrig
Davide Scaramuzza
105
44
0
06 Sep 2021
Fighting Selection Bias in Statistical Learning: Application to Visual
  Recognition from Biased Image Databases
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases
Stéphan Clémenccon
Pierre Laforgue
Robin Vogel
CVBM
27
0
0
06 Sep 2021
Knowing False Negatives: An Adversarial Training Method for Distantly
  Supervised Relation Extraction
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
Kailong Hao
Botao Yu
Wei Hu
74
22
0
05 Sep 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution
  Generalization
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Haoyue Bai
Fengwei Zhou
Lanqing Hong
Nanyang Ye
Shueng-Han Gary Chan
Zhenguo Li
OODUQCV
73
44
0
05 Sep 2021
Automatic Online Multi-Source Domain Adaptation
Automatic Online Multi-Source Domain Adaptation
Renchunzi Xie
Mahardhika Pratama
83
15
0
05 Sep 2021
Barycentric-alignment and reconstruction loss minimization for domain
  generalization
Barycentric-alignment and reconstruction loss minimization for domain generalization
Boyang Lyu
Thuan Q. Nguyen
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
136
4
0
04 Sep 2021
MitoDet: Simple and robust mitosis detection
MitoDet: Simple and robust mitosis detection
Jakob Dexl
M. Benz
Volker Bruns
P. Kuritcyn
Thomas Wittenberg
54
3
0
02 Sep 2021
Adversarial Robustness for Unsupervised Domain Adaptation
Adversarial Robustness for Unsupervised Domain Adaptation
Muhammad Awais
Fengwei Zhou
Hang Xu
Lanqing Hong
Ping Luo
Sung-Ho Bae
Zhenguo Li
97
40
0
02 Sep 2021
Real World Robustness from Systematic Noise
Real World Robustness from Systematic Noise
Yan Wang
Yuhang Li
Ruihao Gong
61
7
0
02 Sep 2021
DILBERT: Customized Pre-Training for Domain Adaptation withCategory
  Shift, with an Application to Aspect Extraction
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
Entony Lekhtman
Yftah Ziser
Roi Reichart
76
29
0
01 Sep 2021
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
Zhuoxiao Chen
Yadan Luo
Mahsa Baktash
89
10
0
01 Sep 2021
Aligning Hotel Embeddings using Domain Adaptation for Next-Item
  Recommendation
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation
Ioannis Partalas
30
0
0
31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
168
536
0
31 Aug 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning
CAPE: Context-Aware Private Embeddings for Private Language Learning
Richard Plant
Dimitra Gkatzia
V. Giuffrida
80
27
0
27 Aug 2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Donghyun Kim
Yi-Hsuan Tsai
Bingbing Zhuang
Xiang Yu
Stan Sclaroff
Kate Saenko
Manmohan Chandraker
90
73
0
26 Aug 2021
Learning to Diversify for Single Domain Generalization
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
116
259
0
26 Aug 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and
  Adversarial Training
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Hari Prasanna Das
Ryan Tran
Japjot Singh
Yu-Wen Lin
C. Spanos
OOD
66
11
0
25 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
92
12
0
25 Aug 2021
Domain Adaptation for Real-World Single View 3D Reconstruction
Domain Adaptation for Real-World Single View 3D Reconstruction
Brandon Leung
Siddharth Singh
Arik Horodniceanu
OOD
28
1
0
24 Aug 2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via
  Soft Neighborhood Density
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Stan Sclaroff
Trevor Darrell
Kate Saenko
88
57
0
24 Aug 2021
Weakly Supervised Cross-platform Teenager Detection with Adversarial
  BERT
Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT
Peiling Yi
A. Zubiaga
8
1
0
24 Aug 2021
Ranking Models in Unlabeled New Environments
Ranking Models in Unlabeled New Environments
Xiaoxiao Sun
Yunzhong Hou
Weijian Deng
Hongdong Li
Liang Zheng
OOD
71
9
0
23 Aug 2021
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction
Brandon Leung
Chih-Hui Ho
Nuno Vasconcelos
72
5
0
23 Aug 2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Robust Ensembling Network for Unsupervised Domain Adaptation
Han Sun
Lei Lin
Ningzhong Liu
Huiyu Zhou
37
2
0
21 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
61
0
0
20 Aug 2021
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