ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1505.07818
  4. Cited By
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
Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker
  SVS by Learning from Singing Teacher
Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher
Heyang Xue
Xinsheng Wang
Yongmao Zhang
Lei Xie
Pengcheng Zhu
Mengxiao Bi
DiffM
72
11
0
30 Mar 2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
Wei Lin
Anna Kukleva
Kunyang Sun
Horst Possegger
Hilde Kuehne
Horst Bischof
VGen
125
7
0
30 Mar 2022
Improving Distortion Robustness of Self-supervised Speech Processing
  Tasks with Domain Adaptation
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation
Kuan Po Huang
Yuanbin Fu
Yu Zhang
Hung-yi Lee
87
28
0
30 Mar 2022
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic
  Facial Actions for Emotion Analysis
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis
Xiaotian Li
Xiang Zhang
Huiyuan Yang
Wenna Duan
W. Dai
L. Yin
CVBM
48
17
0
29 Mar 2022
Instance Relation Graph Guided Source-Free Domain Adaptive Object
  Detection
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
VS Vibashan
Poojan Oza
Vishal M. Patel
85
68
0
29 Mar 2022
Invariance Learning based on Label Hierarchy
Invariance Learning based on Label Hierarchy
S. Toyota
Kenji Fukumizu
OOD
65
1
0
29 Mar 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
Ling Yang
Yizhou Yu
MedIm
42
6
0
29 Mar 2022
Task-specific Inconsistency Alignment for Domain Adaptive Object
  Detection
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
Liang Zhao
Limin Wang
75
79
0
29 Mar 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose
  Estimation
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
Jogendra Nath Kundu
Siddharth Seth
YM Pradyumna
Varun Jampani
Anirban Chakraborty
R. Venkatesh Babu
3DH
79
32
0
29 Mar 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing
  Pooled Neuroimaging Datasets
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Vishnu Suresh Lokhande
Rudrasis Chakraborty
Sathya Ravi
Vikas Singh
60
4
0
29 Mar 2022
Towards Domain Generalization in Object Detection
Towards Domain Generalization in Object Detection
Xingxuan Zhang
Zekai Xu
Renzhe Xu
Jiashuo Liu
Peng Cui
Weitao Wan
Chong Sun
Chen Li
ObjDOOD
100
24
0
27 Mar 2022
Semantic-guided Disentangled Representation for Unsupervised
  Cross-modality Medical Image Segmentation
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation
Shuailong Wang
Rui Li
53
1
0
26 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching
Addressing Missing Sources with Adversarial Support-Matching
T. Kehrenberg
Myles Bartlett
V. Sharmanska
Novi Quadrianto
25
1
0
24 Mar 2022
Compound Domain Generalization via Meta-Knowledge Encoding
Compound Domain Generalization via Meta-Knowledge Encoding
Chaoqi Chen
Jiongcheng Li
Xiaoguang Han
Xiaoqing Liu
Yizhou Yu
AI4CE
97
60
0
24 Mar 2022
Disentangleing Content and Fine-grained Prosody Information via Hybrid
  ASR Bottleneck Features for Voice Conversion
Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion
Xintao Zhao
Feng Liu
Changhe Song
Zhiyong Wu
Shiyin Kang
Deyi Tuo
Helen Meng
85
21
0
24 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
A Broad Study of Pre-training for Domain Generalization and Adaptation
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OODAI4CE
103
81
0
22 Mar 2022
Feature Distribution Matching for Federated Domain Generalization
Feature Distribution Matching for Federated Domain Generalization
Yuwei Sun
Ng Chong
H. Ochiai
OOD
92
30
0
22 Mar 2022
Out-of-distribution Generalization with Causal Invariant Transformations
Out-of-distribution Generalization with Causal Invariant Transformations
Ruoyu Wang
Mingyang Yi
Zhitang Chen
Shengyu Zhu
OODOODD
89
61
0
22 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
118
138
0
21 Mar 2022
Explainable Misinformation Detection Across Multiple Social Media
  Platforms
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
83
17
0
20 Mar 2022
Outcome Assumptions and Duality Theory for Balancing Weights
Outcome Assumptions and Duality Theory for Balancing Weights
David Bruns-Smith
Avi Feller
48
5
0
17 Mar 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
  Generalization and Beyond
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
Yuzhe Yang
Hao Wang
Dina Katabi
AI4CE
61
44
0
17 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
65
3
0
17 Mar 2022
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression
  for Real-World Clinical Applications
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications
Somaye Hashemifar
C. Iriondo
Evan Casey
Mohsen Hejrati
for Alzheimer's Disease Neuroimaging Initiative
OODMedIm
54
3
0
17 Mar 2022
Adversarial Support Alignment
Adversarial Support Alignment
Shangyuan Tong
T. Garipov
Yang Zhang
Shiyu Chang
Tommi Jaakkola
63
10
0
16 Mar 2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Wee Ling Tan
Chuan-Sheng Foo
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
TTAOODAI4TS
74
72
0
15 Mar 2022
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic
  Segmentation
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
Runfa Chen
Yu Rong
Shangmin Guo
Jiaqi Han
Gang Hua
Tingyang Xu
Wenbing Huang
ViT
70
20
0
15 Mar 2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear
  Guarded Attribute Information
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
Shun Shao
Yftah Ziser
Shay B. Cohen
AAML
78
30
0
15 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
100
30
0
15 Mar 2022
Learning for Robot Decision Making under Distribution Shift: A Survey
Learning for Robot Decision Making under Distribution Shift: A Survey
Abhishek Paudel
OODOffRL
102
6
0
14 Mar 2022
From Big to Small: Adaptive Learning to Partial-Set Domains
From Big to Small: Adaptive Learning to Partial-Set Domains
Zhangjie Cao
Kaichao You
Ziyang Zhang
Jianmin Wang
Mingsheng Long
CLL
108
25
0
14 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised
  Domain Adaptation
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Jin Liu
Chuan-Xian Ren
Xiao-Lin Xu
Ke-Kun Huang
OOD
81
2
0
14 Mar 2022
Revisiting Deep Semi-supervised Learning: An Empirical Distribution
  Alignment Framework and Its Generalization Bound
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound
Feiyu Wang
Qin Wang
Wen Li
Dong Xu
Luc Van Gool
56
5
0
13 Mar 2022
Optimizer Amalgamation
Optimizer Amalgamation
Tianshu Huang
Tianlong Chen
Sijia Liu
Shiyu Chang
Lisa Amini
Zhangyang Wang
MoMe
69
4
0
12 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Yuhang Li
Youngeun Kim
Hyoungseob Park
Tamar Geller
Priyadarshini Panda
108
78
0
11 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
87
33
0
11 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
Maurice Pagnucco
Yang Song
AI4TS
80
22
0
10 Mar 2022
Domain Generalisation for Object Detection under Covariate and Concept
  Shift
Domain Generalisation for Object Detection under Covariate and Concept Shift
Karthik Seemakurthy
E. Aptoula
Charles Fox
Petra Bosilj
ObjDOOD
109
10
0
10 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
83
2
0
09 Mar 2022
Dynamic Instance Domain Adaptation
Dynamic Instance Domain Adaptation
Zhongying Deng
Kaiyang Zhou
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
OOD
99
33
0
09 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li
Kan Ren
Xinyang Jiang
Yue Liu
Haipeng Zhang
Dongsheng Li
VLM
94
38
0
09 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for
  Robust Intrusion Detection
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
João Vitorino
Nuno Oliveira
Isabel Praça
AAML
58
29
0
08 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial
  Domain Adaptation
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Jingyao Wang
Jiangmeng Li
C. Zheng
Fuchun Sun
Hui Xiong
39
25
0
08 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via
  Adversarial Rotation
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
Robin Wang
Yibo Yang
Dacheng Tao
3DPC
119
18
0
08 Mar 2022
Shift-Robust Node Classification via Graph Adversarial Clustering
Shift-Robust Node Classification via Graph Adversarial Clustering
Qi Zhu
Chao Zhang
Chanyoung Park
Carl Yang
Jiawei Han
OOD
59
6
0
07 Mar 2022
Maximizing Conditional Independence for Unsupervised Domain Adaptation
Maximizing Conditional Independence for Unsupervised Domain Adaptation
Yiqiang Zhai
You-Wei Luo
61
3
0
07 Mar 2022
Student Becomes Decathlon Master in Retinal Vessel Segmentation via
  Dual-teacher Multi-target Domain Adaptation
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation
Linkai Peng
Li Lin
Pujin Cheng
Huaqing He
Xiaoying Tang
92
3
0
07 Mar 2022
Domain Adaptation with Factorizable Joint Shift
Domain Adaptation with Factorizable Joint Shift
Hao He
Yuzhe Yang
Hao Wang
TTA
72
6
0
06 Mar 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge
  Transfer Networks
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon
John Palowitch
Dustin Zelle
Ziniu Hu
Ruslan Salakhutdinov
Bryan Perozzi
72
14
0
03 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
William Paul
Philippe Burlina
54
0
0
03 Mar 2022
Previous
123...333435...717273
Next