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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
Photo-realistic Neural Domain Randomization
Photo-realistic Neural Domain Randomization
Sergey Zakharov
Rares Andrei Ambrus
Vitor Campagnolo Guizilini
Wadim Kehl
Adrien Gaidon
115
10
0
23 Oct 2022
Unsupervised Non-transferable Text Classification
Unsupervised Non-transferable Text Classification
Guangtao Zeng
Wei Lu
94
6
0
23 Oct 2022
Deep Learning in Single-Cell Analysis
Deep Learning in Single-Cell Analysis
Dylan Molho
Jiayuan Ding
Zhaoheng Li
Haifang Wen
Wenzhuo Tang
...
P. Danaher
Robert Yang
Y. Lei
Yuying Xie
Jiliang Tang
106
23
0
22 Oct 2022
ConfMix: Unsupervised Domain Adaptation for Object Detection via
  Confidence-based Mixing
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Giulio Mattolin
Luca Zanella
Elisa Ricci
Yiming Wang
ObjD
95
41
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
110
9
0
20 Oct 2022
"Why did the Model Fail?": Attributing Model Performance Changes to
  Distribution Shifts
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
Haoran Zhang
Harvineet Singh
Marzyeh Ghassemi
Shalmali Joshi
77
23
0
19 Oct 2022
Deep-based quality assessment of medical images through domain
  adaptation
Deep-based quality assessment of medical images through domain adaptation
Marouane Tliba
Aymen Sekhri
M. A. Kerkouri
A. Chetouani
MedIm
44
5
0
19 Oct 2022
Adversarial De-confounding in Individualised Treatment Effects
  Estimation
Adversarial De-confounding in Individualised Treatment Effects Estimation
Vinod Kumar Chauhan
Soheila Molaei
Marzia Hoque Tania
Anshul Thakur
T. Zhu
David Clifton
CML
46
14
0
19 Oct 2022
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using
  Adversarial Multi-Task Learning
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning
M. Shahin
Beena Ahmed
J. Epps
29
0
0
19 Oct 2022
Vision Paper: Causal Inference for Interpretable and Robust Machine
  Learning in Mobility Analysis
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis
Yanan Xin
Natasa Tagasovska
Fernando Perez-Cruz
Martin Raubal
66
10
0
18 Oct 2022
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home
  Activity Learning
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning
Md. Mahmudur Rahman
Mahta Mousavi
P. Tarr
Mohammad Arif Ul Alam
35
3
0
18 Oct 2022
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous
  Learning
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
Md. Mahmudur Rahman
Yikang Shen
Mohammad Arif Ul Alam
37
5
0
18 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
Gaurav Kumar Nayak
Ruchit Rawal
Anirban Chakraborty
124
3
0
17 Oct 2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A
  Multi-Task Learning Framework and A New Benchmark
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
Zhizhong Huang
Junping Zhang
Hongming Shan
CVBM
44
31
0
17 Oct 2022
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine
  Environment
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
Yuanyuan Qiao
Jiaxin Yin
Wei Wang
Fábio Duarte
Jie Yang
C. Ratti
124
81
0
16 Oct 2022
DI-NIDS: Domain Invariant Network Intrusion Detection System
DI-NIDS: Domain Invariant Network Intrusion Detection System
S. Layeghy
Mahsa Baktash
Marius Portmann
OODAAML
50
28
0
15 Oct 2022
Attention Regularized Laplace Graph for Domain Adaptation
Attention Regularized Laplace Graph for Domain Adaptation
Lingkun Luo
Limin Chen
Shiqiang Hu
AI4CE
86
7
0
15 Oct 2022
Improving generalizability of distilled self-supervised speech
  processing models under distorted settings
Improving generalizability of distilled self-supervised speech processing models under distorted settings
Kuan-Po Huang
Yu-Kuan Fu
Tsung-Yuan Hsu
Fabian Ritter-Gutierrez
Fan Wang
Liang-Hsuan Tseng
Yu Zhang
Hung-yi Lee
80
14
0
14 Oct 2022
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Srikrishna Jaganathan
Maximilian Kukla
Jian Wang
Karthik Shetty
Andreas Maier
3DPC
80
12
0
14 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
105
32
0
14 Oct 2022
Polycentric Clustering and Structural Regularization for Source-free
  Unsupervised Domain Adaptation
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Xinyu Guan
Han Sun
Ningzhong Liu
Huiyu Zhou
86
2
0
14 Oct 2022
Improving Out-of-Distribution Generalization by Adversarial Training
  with Structured Priors
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang
Yifei Wang
Hong Zhu
Yisen Wang
OOD
54
20
0
13 Oct 2022
C-Mixup: Improving Generalization in Regression
C-Mixup: Improving Generalization in Regression
Huaxiu Yao
Yiping Wang
Linjun Zhang
James Zou
Chelsea Finn
UQCVOOD
93
62
0
11 Oct 2022
Visual Prompt Tuning for Test-time Domain Adaptation
Visual Prompt Tuning for Test-time Domain Adaptation
Yunhe Gao
Xingjian Shi
Yi Zhu
Hongya Wang
Zhiqiang Tang
Xiong Zhou
Mu Li
Dimitris N. Metaxas
VPVLMVLM
179
89
0
10 Oct 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled
  Source Data
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data
Qian Yu
Dongnan Liu
Chaoyi Zhang
Xinwen Zhang
Weidong (Tom) Cai
OOD
81
4
0
10 Oct 2022
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention
  Network
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network
L. Gan
Connor T. Lee
Soon-Jo Chung
79
16
0
09 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to
  Closed-Loop Causality Gap
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner
Ramin Hasani
Alexander Amini
Tsun-Hsuan Wang
T. Henzinger
Daniela Rus
CMLOOD
92
7
0
09 Oct 2022
3D Reconstruction of Sculptures from Single Images via Unsupervised
  Domain Adaptation on Implicit Models
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
Ziyi Chang
George Alex Koulieris
Hubert P. H. Shum
55
3
0
09 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
104
114
0
09 Oct 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects
  Estimation
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica
M. Schaar
OODCML
72
22
0
08 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
145
34
0
08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
144
64
0
07 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
121
24
0
06 Oct 2022
Time Will Change Things: An Empirical Study on Dynamic Language
  Understanding in Social Media Classification
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification
Yuji Zhang
Jing Li
83
5
0
06 Oct 2022
Domain Generalization via Contrastive Causal Learning
Domain Generalization via Contrastive Causal Learning
Qiaowei Miao
Junkun Yuan
Kun Kuang
BDLOOD
82
12
0
06 Oct 2022
Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman
Charlie Hewitt
Erroll Wood
T. Baltrušaitis
CVBM
107
5
0
05 Oct 2022
Robust Target Training for Multi-Source Domain Adaptation
Robust Target Training for Multi-Source Domain Adaptation
Zhongying Deng
Da Li
Yi-Zhe Song
Tao Xiang
OOD
65
3
0
04 Oct 2022
TripleE: Easy Domain Generalization via Episodic Replay
TripleE: Easy Domain Generalization via Episodic Replay
Xuelong Li
Hongyu Ren
Huifeng Yao
Ziwei Liu
31
0
0
04 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in
  Neural Networks
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli
Anshul Nasery
R. Venkatesh Babu
Praneeth Netrapalli
Prateek Jain
AAML
88
3
0
04 Oct 2022
A Reproducible and Realistic Evaluation of Partial Domain Adaptation
  Methods
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Tiago Salvador
Kilian Fatras
Ioannis Mitliagkas
Adam M. Oberman
22
0
0
03 Oct 2022
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data
Andrea Apicella
Francesco Isgrò
A. Pollastro
R. Prevete
OOD
58
43
0
03 Oct 2022
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu
Jie Yang
Mohamad Sawan
OODMedIm
79
21
0
03 Oct 2022
Deep Spatial Domain Generalization
Deep Spatial Domain Generalization
Dazhou Yu
Guangji Bai
Yun Li
Liang Zhao
OOD
81
6
0
03 Oct 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
123
11
0
03 Oct 2022
Leveraging unsupervised data and domain adaptation for deep regression
  in low-cost sensor calibration
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
Swapnil Dey
Vipul Arora
S. Tripathi
OOD
82
1
0
02 Oct 2022
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen
Xintong Han
Zuxuan Wu
Yu-Gang Jiang
165
28
0
30 Sep 2022
Increasing Model Generalizability for Unsupervised Domain Adaptation
Increasing Model Generalizability for Unsupervised Domain Adaptation
Mohammad Rostami
71
4
0
29 Sep 2022
Regularizing Neural Network Training via Identity-wise Discriminative
  Feature Suppression
Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression
Avraham Chapman
Lingqiao Liu
39
1
0
29 Sep 2022
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain
  Supervision for Domain-adaptive Action Detection
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection
Yifan Lu
Gurkirt Singh
Suman Saha
Luc Van Gool
TTA
154
2
0
28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAMLOODD
98
4
0
26 Sep 2022
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