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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
Learning from Different Samples: A Source-free Framework for
  Semi-supervised Domain Adaptation
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Bowen Zhang
Shanghang Zhang
71
1
0
11 Nov 2024
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
97
2
0
10 Nov 2024
Personalize to generalize: Towards a universal medical multi-modality
  generalization through personalization
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization
Zhaorui Tan
Xi Yang
Tan Pan
Tianyi Liu
Chen Jiang
...
Qiufeng Wang
Anh Nguyen
Yuan Qi
K. Huang
Yuan Cheng
AI4CELM&MA
70
1
0
09 Nov 2024
Cross-Domain Transfer Learning using Attention Latent Features for
  Multi-Agent Trajectory Prediction
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction
Jia Quan Loh
Xuewen Luo
Fan Ding
Hwa Hui Tew
Junn Yong Loo
Z. Y. Ding
Susilawati Susilawati
Chee Pin Tan
54
3
0
09 Nov 2024
Dynamic-Attention-based EEG State Transition Modeling for Emotion
  Recognition
Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition
Xinke Shen
Runmin Gan
Kaixuan Wang
Steve Yang
Qingzhu Zhang
Quanying Liu
Dan Zhang
Sen Song
76
0
0
07 Nov 2024
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain
  Adaptation
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation
Qingyao Tian
Huai Liao
Xinyan Huang
Lujie Li
Hongbin Liu
MDE
68
0
0
07 Nov 2024
Overcoming label shift in targeted federated learning
Overcoming label shift in targeted federated learning
Edvin Listo Zec
Adam Breitholtz
Fredrik D. Johansson
FedML
130
0
0
06 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to
  Data Science Systems
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems
Sijie Dong
Soror Sahri
Themis Palpanas
67
0
0
05 Nov 2024
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
Deok-Hyeon Cho
Hyung-Seok Oh
Seung-Bin Kim
Seong-Whan Lee
126
8
0
04 Nov 2024
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving
Salman Khan
Izzeddin Teeti
Reza Javanmard Alitappeh
Mihaela C. Stoian
Eleonora Giunchiglia
Gurkirt Singh
Andrew Bradley
Fabio Cuzzolin
95
0
0
03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance
  Meta-Learning
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
Haoliang Wang
Chen Zhao
Feng Chen
75
3
0
02 Nov 2024
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation
  for Agricultural Robots
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots
Vasileios Tzouras
Lazaros Nalpantidis
Ronja Güldenring
71
0
0
31 Oct 2024
Progression: an extrapolation principle for regression
Progression: an extrapolation principle for regression
Gloria Buriticá
Sebastian Engelke
120
4
0
30 Oct 2024
Learning Identifiable Factorized Causal Representations of Cellular
  Responses
Learning Identifiable Factorized Causal Representations of Cellular Responses
Haiyi Mao
Romain Lopez
Kai Liu
Jan-Christian Huetter
David Richmond
Panayiotis Benos
Lin Qiu
CML
64
3
0
29 Oct 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODDCML
170
0
0
29 Oct 2024
Domain Adaptation with a Single Vision-Language Embedding
Domain Adaptation with a Single Vision-Language Embedding
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
66
0
0
28 Oct 2024
SeriesGAN: Time Series Generation via Adversarial and Autoregressive
  Learning
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
MohammadReza EskandariNasab
S. M. Hamdi
S. F. Boubrahimi
GANAI4TS
70
0
0
28 Oct 2024
Meta-Learning Approaches for Improving Detection of Unseen Speech
  Deepfakes
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes
Ivan Kukanov
Janne Laakkonen
Tomi Kinnunen
Ville Hautamaki
AAML
124
1
0
27 Oct 2024
Resolving Domain Shift For Representations Of Speech In Non-Invasive
  Brain Recordings
Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
Jeremiah Ridge
Oiwi Parker Jones
62
3
0
25 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in
  Healthcare
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
Arno Blaas
Adam Goliñski
Andrew C. Miller
Luca Zappella
J. Jacobsen
Christina Heinze-Deml
OOD
67
0
0
25 Oct 2024
Adversarial Domain Adaptation for Metal Cutting Sound Detection:
  Leveraging Abundant Lab Data for Scarce Industry Data
Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data
Mir Imtiaz Mostafiz
Eunseob Kim
A. Li
Elisa Bertino
Martin Byung-Guk Jun
Ali Shakouri
55
0
0
23 Oct 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution
  Augmentation
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Bohan Wang
Yurui Chang
Lu Lin
OODDOOD
94
0
0
23 Oct 2024
Co-training partial domain adaptation networks for industrial Fault
  Diagnosis
Co-training partial domain adaptation networks for industrial Fault Diagnosis
Gecheng Chen
29
0
0
22 Oct 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational
  Lens Analysis
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
Paxson Swierc
Marcos Tamargo-Arizmendi
A. Ćiprijanović
Brian D. Nord
67
3
0
21 Oct 2024
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free
  Unsupervised Domain Adaptation
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
Yongguang Li
Yueqi Cao
Jindong Li
Qi Wang
Shengsheng Wang
85
1
0
21 Oct 2024
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in
  Abstractive Text Summarization
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
Haohan Yuan
Haopeng Zhang
50
2
0
21 Oct 2024
Unsupervised Domain Adaptation Approaches for Chessboard Recognition
Unsupervised Domain Adaptation Approaches for Chessboard Recognition
Wassim Jabbour
Enzo Benoit-Jeannin
Oscar Bedford
Saif Shahin
29
0
0
19 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
81
1
0
19 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma
Chao Pan
Rasoul Etesami
Han Zhao
Olgica Milenković
FedMLAAML
67
0
0
16 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedMLOODD
103
5
0
15 Oct 2024
FedCCRL: Federated Domain Generalization with Cross-Client
  Representation Learning
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
Xinpeng Wang
Xiaoying Tang
Xiaoying Tang
FedML
86
3
0
15 Oct 2024
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Hung-Chieh Fang
Po-Yi Lu
Hsuan-Tien Lin
25
0
0
15 Oct 2024
Querying functional and structural niches on spatial transcriptomics data
Querying functional and structural niches on spatial transcriptomics data
Mo Chen
Minsheng Hao
Xinquan Liu
Lin Deng
Chen Li
Dongfang Wang
Kui Hua
Xuegong Zhang
Lei Wei
66
0
0
14 Oct 2024
Large Model for Small Data: Foundation Model for Cross-Modal RF Human
  Activity Recognition
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
Yuxuan Weng
Guoquan Wu
Tianyue Zheng
Yanbing Yang
Jun Luo
79
5
0
13 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao
Huazhen Lin
Yuchen Luo
Jerry Zhijian Yang
105
1
0
12 Oct 2024
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object
  Detection
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
Haoyang Li
Rui Zhang
Hantao Yao
X. Zhang
Yifan Hao
Xinkai Song
Xiaqing Li
Yongwei Zhao
Ling Li
Yunji Chen
ObjDVLM
109
5
0
11 Oct 2024
Towards virtual painting recolouring using Vision Transformer on X-Ray
  Fluorescence datacubes
Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes
A. Bombini
Fernando García-Avello Bofías
Francesca Giambi
Chiara Ruberto
58
0
0
11 Oct 2024
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
Anh-Quan Cao
M. Jaritz
Matthieu Guillaumin
Raoul de Charette
Loris Bazzani
VLMCLIP
100
2
0
10 Oct 2024
C^2DA: Contrastive and Context-aware Domain Adaptive Semantic
  Segmentation
C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation
Md. Al-Masrur Khan
Zheng Chen
Lantao Liu
63
0
0
10 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
60
2
0
10 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
137
7
0
10 Oct 2024
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time
  Series
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
Gang Tu
Dan Li
Bingxin Lin
Zibin Zheng
See-Kiong Ng
AI4TS
71
1
0
09 Oct 2024
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language
  Models for Healthcare
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
Pardis Sadat Zahraei
Zahra Shakeri
LM&MA
61
0
0
09 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OODMQ
110
2
0
08 Oct 2024
Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive
  Object Detection
Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection
Jiuzheng Yang
Song Tang
Yangkuiyi Zhang
Shuaifeng Li
Mao Ye
Jianwei Zhang
Xiatian Zhu
93
1
0
07 Oct 2024
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for
  Speech Emotion Recognition
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
David-Gabriel Ion
Razvan-Alexandru Smadu
Dumitru-Clementin Cercel
Florin-Catalin Pop
Mihaela-Claudia Cercel
65
0
0
06 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
67
0
0
06 Oct 2024
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized
  Distributions
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions
Yu-Shin Huang
Peter Just
Krishna Narayanan
Chao Tian
120
7
0
06 Oct 2024
Improving Distribution Alignment with Diversity-based Sampling
Improving Distribution Alignment with Diversity-based Sampling
Andrea Napoli
Paul White
46
0
0
05 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
129
2
0
04 Oct 2024
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