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Domain-Adversarial Training of Neural Networks

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
    GAN
    OOD
ArXivPDFHTML

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,494 papers shown
Title
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
OODD
CML
67
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
23
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
GAN
AI4TS
31
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
29
0
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
24
0
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
23
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
19
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
OODD
OOD
30
0
0
23 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
31
1
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
30
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
26
1
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
9
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
28
0
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
FedML
AAML
26
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
FedML
OODD
43
2
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
18
2
0
15 Oct 2024
QueST: Querying Functional and Structural Niches on Spatial
  Transcriptomics Data via Contrastive Subgraph Embedding
QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding
Mo Chen
Minsheng Hao
Xuegong Zhang
Lei Wei
25
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-Jie Luo
21
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
41
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
H. Li
Rui Zhang
Hantao Yao
X. Zhang
Yifan Hao
Xinkai Song
Xiaqing Li
Yongwei Zhao
Ling Li
Yunji Chen
ObjD
VLM
29
3
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
13
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
VLM
CLIP
44
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
23
0
0
10 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
24
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
30
6
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
22
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
21
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
OOD
MQ
28
1
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
28
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
23
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
19
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
34
1
0
06 Oct 2024
Improving Distribution Alignment with Diversity-based Sampling
Improving Distribution Alignment with Diversity-based Sampling
Andrea Napoli
Paul White
16
0
0
05 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shinýa Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
37
0
0
04 Oct 2024
Curvature Diversity-Driven Deformation and Domain Alignment for Point
  Cloud
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud
Mengxi Wu
Hao Huang
Yi Fang
Mohammad Rostami
24
0
0
03 Oct 2024
FAN: Fourier Analysis Networks
FAN: Fourier Analysis Networks
Yihong Dong
Ge Li
Yongding Tao
Xue Jiang
Kechi Zhang
Jia Li
Jing Su
Jing Su
Jun Zhang
Jingjing Xu
AI4TS
13
4
0
03 Oct 2024
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain
  Adaptation for Enhancing Alzheimer's Disease Identification
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification
Yooseung Shin
Kwanseok Oh
Heung-Il Suk
22
0
0
02 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single
  Source Domain Generalization
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
OOD
13
0
0
29 Sep 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain
  Adaptation
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
Yucheng Wang
Peiliang Gong
Min-man Wu
Felix Ott
Xiaoli Li
Lihua Xie
Zhenghua Chen
TTA
35
1
0
29 Sep 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
63
2
0
29 Sep 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology
Benchmarking Domain Generalization Algorithms in Computational Pathology
Neda Zamanitajeddin
Mostafa Jahanifar
Kesi Xu
Fouzia Siraj
Nasir M. Rajpoot
OOD
28
2
0
25 Sep 2024
IRASNet: Improved Feature-Level Clutter Reduction for Domain Generalized
  SAR-ATR
IRASNet: Improved Feature-Level Clutter Reduction for Domain Generalized SAR-ATR
Oh-Tae Jang
Hae-Kang Song
Min-Jun Kim
Kyung-Hwan Lee
Geon Lee
...
Hee-Sub Shin
Jae-Woo Ok
Min-Young Back
Jae-Hyuk Yoon
Kyung-Tae Kim
33
1
0
25 Sep 2024
Source-Free Domain Adaptation for YOLO Object Detection
Source-Free Domain Adaptation for YOLO Object Detection
Simon Varailhon
Masih Aminbeidokhti
M. Pedersoli
Eric Granger
TTA
ObjD
33
4
0
25 Sep 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
Ming Jin
Danni Zhang
Gangming Zhao
Changde Du
Jinpeng Li
TTA
35
0
0
24 Sep 2024
Quantifying Context Bias in Domain Adaptation for Object Detection
Quantifying Context Bias in Domain Adaptation for Object Detection
Hojun Son
Arpan Kusari
AI4CE
29
0
0
23 Sep 2024
Egocentric zone-aware action recognition across environments
Egocentric zone-aware action recognition across environments
Simone Alberto Peirone
Gabriele Goletto
M. Planamente
A. Bottino
Barbara Caputo
Giuseppe Averta
EgoV
26
0
0
21 Sep 2024
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for
  Time Series Generation
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
MohammadReza EskandariNasab
S. M. Hamdi
S. F. Boubrahimi
GAN
AI4TS
18
1
0
21 Sep 2024
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
24
1
0
20 Sep 2024
Investigation on domain adaptation of additive manufacturing monitoring
  systems to enhance digital twin reusability
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
Jiarui Xie
Zhuo Yang
Chun-Chun Hu
Haw-Ching Yang
Yan Lu
Y. Zhao
AI4CE
35
1
0
19 Sep 2024
Partial Distribution Matching via Partial Wasserstein Adversarial
  Networks
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jornsten
Gui-Song Xia
OOD
34
0
0
16 Sep 2024
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