Adversarial Discriminative Domain Adaptation

Cited by (1,009)

Items 801–900 of 1,009

1. Towards Online Domain Adaptive Object Detection
   Vibashan VS, Poojan Oza, Vishal M. Patel · 2023 · IEEE Winter Conference on Applications of Computer Vision
2. Instance-Based Deep Transfer Learning
   Tianyang Wang, Jun Huan, Michelle Zhu · 2019 · IEEE Winter Conference on Applications of Computer Vision
3. Language-Adversarial Transfer Learning for Low-Resource Speech Recognition
   Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Ye Bai · 2018 · IEEE/ACM Transactions on Audio Speech and Language Processing
4. AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
   Hossein Sharifi-Noghabi, Shuman Peng, Olga I. Zolotareva, Colin C. Collins, Martin Ester · 2020 · Bioinformatics
5. Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
   Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao · 2020 · IEEE Transactions on Neural Networks and Learning Systems
6. Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation
   Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu · 2021 · Information Sciences
7. Towards Domain Invariant Single Image Dehazing
   Pranjay Shyam, Kuk‐Jin Yoon, Kyung-Soo Kim · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
8. Simple yet efficient real-time pose-based action recognition
   Dennis Ludl, Thomas Gulde, Cristóbal Curio · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
9. Disjoint Label Space Transfer Learning with Common Factorised Space
   Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
10. SimROD: A Simple Adaptation Method for Robust Object Detection
    Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
11. T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation
    Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
12. Emerging artificial intelligence applications in Spatial Transcriptomics analysis
    Yijun Li, Stefan Stanojevic, Lana Xia Garmire · 2022 · Computational and Structural Biotechnology Journal
13. Unsupervised Structure-Texture Separation Network for Oracle Character Recognition
    Mei Wang, Weihong Deng, Cheng-Lin Liu · 2022 · IEEE Transactions on Image Processing
14. Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction
    Yimin Jiang, Tangbin Xia, Dong Wang, Xiaolei Fang, Lifeng Xi · 2022 · IEEE Transactions on Industrial Informatics
15. DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
    Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia · 2022 · Lecture notes in computer science
16. Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes
    Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun · 2022 · Lecture notes in computer science
17. ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic Segmentation
    Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Wenqiang Zhang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
18. A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox
    Yunyi Zhu, Yan Pei, Anqi Wang, Bin Xie, Zheng Qian · 2023 · Engineering Applications of Artificial Intelligence
19. SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
    Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. Deep transfer learning for image classification: a survey
    J. Plested, Musa Phiri, Tom Gedeon · 2022 · Artificial Intelligence Review
21. Cross-lingual Text-independent Speaker Verification Using Unsupervised Adversarial Discriminative Domain Adaptation
    Wei Xia, Jing Yu Huang, John H. L. Hansen · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
22. Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
    Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen · 2019 · International Joint Conference on Artificial Intelligence
23. Adversarial Domain Adaptation for Machine Reading Comprehension
    Huazheng Wang, Zhe Gan, Xiaodong Liu, Jun Liu, Jianfeng Gao, Hongning Wang · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
24. Adversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning
    Wei Liu, Zhiming Luo, Yuanzheng Cai, Ying Yu, Ke Yang, José Marcato, Wesley Nunes Gonçalves, Jonathan Li · 2021 · ISPRS Journal of Photogrammetry and Remote Sensing
25. Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification
    Gautam Bhattacharya, João Monteiro, Jahangir Alam, Patrick J Kenny · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
26. Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification
    Hang Zhang, Huanhuan Cao, Xu Yang, Cheng Dan Deng, Dacheng Tao · 2021 · IEEE Transactions on Image Processing
27. Unsupervised Domain Adaptation for SAR Target Detection
    Yu Shi, Lan Du, Yuchen Guo · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
28. Gradient Regularized Contrastive Learning for Continual Domain Adaptation
    Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
29. An improved prototypical network with L2 prototype correction for few-shot cross-domain fault diagnosis
    Tang Tang, Jingwei Wang, Tianyuan Yang, Chuanhang Qiu, Jun Zhao, Ming Chen, Liang Wang · 2023 · Measurement
30. Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
    Junwei Hu, Weigang Li, Ailong Wu, Zhiqiang Tian · 2023 · Knowledge-Based Systems
31. Unsupervised domain adaptation methods for photovoltaic power forecasting
    Loukas Ilias, Elissaios Sarmas, Vangelis Marinakis, Dimitris Askounis, Haris Doukas · 2023 · Applied Soft Computing
32. An explainable multi-modal model for advanced cyber-attack detection in industrial control systems
    Sepideh Bahadoripour, Hadis Karimipour, Amir Namavar Jahromi, Anik Islam · 2024 · Internet of Things
33. Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
    Debasmit Das, C. S. George Lee · 2018 · Lecture notes in computer science
34. Deep Domain Adaptation by Geodesic Distance Minimization
    Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool · 2017 · IEEE International Conference on Computer Vision Workshops
35. ExprADA: Adversarial domain adaptation for facial expression analysis
    Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean‐Philippe Thiran · 2019 · Pattern Recognition
36. Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
    Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino · 2020 · IEEE Winter Conference on Applications of Computer Vision
37. Unsupervised domain adaptation with adversarial learning for mass detection in mammogram
    Rongbo Shen, Jianhua Yao, Kezhou Yan, Kuan Tian, Cheng Jiang, Ke Zhou · 2020 · Neurocomputing
38. Frustratingly Simple Domain Generalization via Image Stylization
    Nathan Somavarapu, Chih‐Yao Ma, Zsolt Kira · 2020 · arXiv (Cornell University)
39. Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces
    Felix Kuhnke, Jörn Östermann · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
40. Deep Visual Domain Adaptation
    Gabriela Csurka · 2020 · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
41. Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis
    Ali Q Saeed, Siti Norul Huda Sheikh Abdullah, Jemaima Che-Hamzah, Ahmad Tarmizi Abdul Ghani · 2021 · Journal of Medical Internet Research
42. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images
    Xi Wang, Fangyao Tang, Hao Chen, Carol Yim-Lui Cheung, Pheng‐Ann Heng · 2022 · Medical Image Analysis
43. Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation
    Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. A Self-Supervised-Driven Open-Set Unsupervised Domain Adaptation Method for Optical Remote Sensing Image Scene Classification and Retrieval
    Siyuan Wang, Dongyang Hou, Huaqiao Xing · 2023 · IEEE Transactions on Geoscience and Remote Sensing
45. COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport
    Yang Liu, Zhipeng Zhou, Baigui Sun · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
46. Hallucinating Agnostic Images to Generalize Across Domains
    Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo B · 2019 · IEEE International Conference on Computer Vision Workshops
47. A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
    Wei Liu, Rongjun Qin · 2020 · IEEE Transactions on Geoscience and Remote Sensing
48. OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer
    Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng‐Hua Tan, Jing‐Hao Xue, Jie Cao, Jingyi Yu A, Jun Hai Guo · 2020 · IEEE Transactions on Image Processing
49. Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
    Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang · 2018 · arXiv (Cornell University)
50. Out of Distribution Generalization in Machine Learning
    Martín Arjovsky · 2021 · arXiv (Cornell University)
51. Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
    Weichen Zhang, Dong Xu, Wanli Ouyang, Wen Li · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
52. Informative Feature Disentanglement for Unsupervised Domain Adaptation
    Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu · 2021 · IEEE Transactions on Multimedia
53. CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
    Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
54. Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain
    Jan-Aike Bolte, Markus Kamp, Antonia Breuer, Silviu Homoceanu, Peter Schlicht, Fabian Hüger, Daniel Lipinski, Tim Fingscheidt · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
55. SAR Target Recognition Based on Cross-Domain and Cross-Task Transfer Learning
    Ke Wang, Gong Zhang, Henry Leung · 2019 · IEEE Access
56. Learning Driving Models From Parallel End-to-End Driving Data Set
    Long Fei Chen, Qing Wang, Xiankai Lu, Dongpu Cao, Fei–Yue Wang · 2019 · Proceedings of the IEEE
57. Camera Invariant Feature Learning for Generalized Face Anti-Spoofing
    Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, Sam Kwong · 2021 · IEEE Transactions on Information Forensics and Security
58. Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
    Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu · 2021 · IEEE Transactions on Image Processing
59. Small Sample Learning in Big Data Era
    Jun Shu, Zongben Xu, Deyu Meng · 2018 · arXiv (Cornell University)
60. Pseudo Labels for Unsupervised Domain Adaptation: A Review
    Li, Yundong, Guo, Longxia, Ge, Yizheng · 2023 · Electronics
61. CrossGR
    Xinyi Li, Liqiong Chang, Fangfang Song, Ju Wang, Xiaojiang Chen, Zhanyong Tang, Zheng Wang · 2021 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
62. How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
    Zhong Li, Zhen Fang, Feng Liu, Jie Lu B, Bo Yuan, Guangquan Zhang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
63. DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images
    Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng‐Ann Heng, Qi Dou · 2022 · IEEE Transactions on Medical Imaging
64. Domain Adaptation for Deep Entity Resolution
    Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Chengliang Chai, Guoliang Li, Ruixue Fan, Xiaoyong Du · 2022 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
65. Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images
    Muge Du, Kaichao Liang, Li Zhang, Hewei Gao, Yinong Liu, Yuxiang Xing · 2023 · IEEE Transactions on Medical Imaging
66. SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
    Yan Wang, Junbo Yin, Wei Li, Pascal Frossard B, Ruigang Yang, Jianbing Shen · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
67. Generative adversarial networks in medical image reconstruction: A systematic literature review
    Jabbar Hussain, Magnus Båth, Jonas Ivarsson · 2025 · Computers in Biology and Medicine
68. Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
    Jinghua Wang, Jianmin Jiang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
69. Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework
    Zengqiang Yan, Xin Yan Yang, Kwang-Ting Tim Cheng · 2020 · IEEE Transactions on Medical Imaging
70. AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
    Hongsong Wang, Shengcai Liao, Ling Shao · 2021 · IEEE Transactions on Image Processing
71. COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
    Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan · 2020 · arXiv (Cornell University)
72. Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
73. Unsupervised Domain Adaptation via Importance Sampling
    Xuemiao Xu, Hai He, Huaidong Zhang, Yangyang Xu, Shengfeng He · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
74. Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
    Marco Toldo, Umberto Michieli, Pietro Zanuttigh · 2021 · IEEE Winter Conference on Applications of Computer Vision
75. Leveraging Self-Supervision for Cross-Domain Crowd Counting
    Weizhe Liu, Nikita Durasov, Pascal Fua · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
76. SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection
    Weichen Zhang, Wen Li, Dong Xu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
77. Cross-Domain Graph Anomaly Detection
    Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu · 2021 · IEEE Transactions on Neural Networks and Learning Systems
78. Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing
    Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun‐Ting Huang, Hongkai Xiong · 2022 · Lecture notes in computer science
79. DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
    Fengyi Shen, Akhil Gurram, Ziyuan Liu, He Wang, Alois Knoll · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
80. Source-Free Unsupervised Domain Adaptation: Current research and future directions
    Ningyuan Zhang, Jie Lu B, Keqiuyin Li, Zhen Fang, Guangquan Zhang · 2023 · Neurocomputing
81. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
    Issam Laradji, Reza Babanezhad · 2020 · Springer eBooks
82. Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation
    Yogesh Balaji, Rama Chellappa, Soheil Feizi · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
83. Unsupervised Cross-Subject Adaptation for Predicting Human Locomotion Intent
    Kuangen Zhang, Jing Wang, Clarence Wilfred de Silva, Chenglong Fu · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
84. DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification
    Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu · 2020 · Neural Networks
85. Mind the Discriminability: Asymmetric Adversarial Domain Adaptation
    Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie · 2020 · Lecture notes in computer science
86. Vertex and energy reconstruction in JUNO with machine learning methods
    Zhen Qian, V. Belavin, Vasily Bokov, R. Brugnera, Alessandro Compagnucci, Arsenii Gavrikov, A. Garfagnini, Maxim O. Gonchar, Leyla Khatbullina, Ziyuan Li et al. · 2021 · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
87. SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation
    Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong · 2021 · IEEE Transactions on Computational Biology and Bioinformatics
88. Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation
    Rui Wang, Masao Utiyama, Andrew Finch, Lemao Liu, Kehai Chen, Eiichiro Sumita · 2018 · IEEE/ACM Transactions on Audio Speech and Language Processing
89. SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection
    Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen · 2022 · IEEE Winter Conference on Applications of Computer Vision
90. Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
    Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
91. Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
    Qian Wang, Fanlin Meng, Toby P. Breckon · 2023 · Neural Networks
92. Multi-Source Domain Adaptation by Causal-Guided Adaptive Multimodal Diffusion Networks
    Ziyun Cai, Yawen Huang, Tengfei Zhang, Yefeng Zheng, Dong Yue · 2025 · International Journal of Computer Vision
93. Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
    Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
94. Learning Domain-Invariant Representations of Histological Images
    Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Mitko Veta · 2019 · Frontiers in Medicine
95. Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification
    Chris J. M. Yoon, Ghassan Hamarneh, Rafeef Garbi · 2019 · Lecture notes in computer science
96. Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
    Lei Kang, Marçal Rusiñol, Alícia Fornés, Pau Riba, Mauricio Villegas · 2020 · IEEE Winter Conference on Applications of Computer Vision
97. Class-Incremental Domain Adaptation
    Jogendra Nath Kundu, Rahul Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu · 2020 · Lecture notes in computer science
98. Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging
    Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz · 2020 · IEEE Transactions on Medical Imaging
99. STEM: An approach to Multi-source Domain Adaptation with Guarantees
    Van-Anh Nguyen, Tuan Dung Nguyen, Trung Le, Quan Hung Tran, Dinh Phung · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
100. Joint Temporal Convolutional Networks and Adversarial Discriminative Domain Adaptation for EEG-Based Cross-Subject Emotion Recognition
     Zhipeng He, Yongshi Zhong, Jiahui Pan · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing