Adversarial Discriminative Domain Adaptation

Cited by (1,009)

Items 301–400 of 1,009

1. Active Adversarial Domain Adaptation
   Jong-Chyi Su, Yi–Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Krishna Chandraker · 2020 · IEEE Winter Conference on Applications of Computer Vision
2. Content-Consistent Matching for Domain Adaptive Semantic Segmentation
   Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang · 2020 · Lecture notes in computer science
3. Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
   Siyu Zhang, Lei Su, Jiefei Gu, Ke Li, Lang Zhou, MICHAEL G. PECHT · 2021 · Chinese Journal of Aeronautics
4. Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network
   Yi Huang, Jiangtao Peng, Na Chen, Weiwei Sun, Qian Du, Kai Ren, Ke Huang · 2023 · ISPRS Journal of Photogrammetry and Remote Sensing
5. End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation
   Te Han, Zhe Wang, Huixing Meng · 2021 · Journal of Power Sources
6. Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
   Bin Deng, Sen Jia, Daming Shi · 2019 · IEEE Transactions on Geoscience and Remote Sensing
7. DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning
   Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan Kankanhalli, Weidong Geng, Xiangdong Li · 2020 · IEEE Transactions on Multimedia
8. Hybrid deep neural network using transfer learning for EEG motor imagery decoding
   Ruilong Zhang, Qun Zong, Liqian Dou, Xinyi Zhao, Yifan Tang, Zhiyu Li · 2020 · Biomedical Signal Processing and Control
9. Adversarially Adaptive Normalization for Single Domain Generalization
   Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Ming-Yuan Zhou · 2021 · Computer Vision and Pattern Recognition
10. Domain Consensus Clustering for Universal Domain Adaptation
    Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
11. The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
    M. J. Mirza, Jakub Micorek, Horst Possegger, H. Bischof · 2021 · Computer Vision and Pattern Recognition
12. Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
    Xiang Li, Zhang We, Xu Li, Hongshen Hao · 2023 · IEEE/ASME Transactions on Mechatronics
13. Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
    Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu · 2021 · arXiv (Cornell University)
14. Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
    Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
    Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao · 2019 · Lecture notes in computer science
16. Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning
    Ancong Wu, Wei‐Shi Zheng, Jianhuang Lai · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
17. Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
    Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Éric Granger · 2020 · Lecture notes in computer science
18. Source free domain adaptation for medical image segmentation with fourier style mining
    Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan · 2022 · Medical Image Analysis
19. Phase Consistent Ecological Domain Adaptation
    Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. Transferable Semantic Augmentation for Domain Adaptation
    Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
21. Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
    Liang Zhao, Limin Wang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
22. Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
    Mahdi Rad, Markus Oberweger, Vincent Lepetit · 2018 · HAL
23. Learning Disentangled Semantic Representation for Domain Adaptation
    Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao · 2019 · International Joint Conference on Artificial Intelligence
24. ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
    Vu, Tuan-Hung, Jain, Himalaya, Bucher, Maxime, Cord, Matthieu, Perez, Patrick · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
25. Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation
    Jian Liang, Ran He, Zhenan Sun, Tieniu Tan · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
26. A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions
    Ming Zhang, Duo Wang, Weining Lu, Jun Jie Yang, Zhiheng Li, Bin Liang · 2019 · IEEE Access
27. Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis
    Yiyao An, Ke Zhang, Yi Chai, Zhiqin Zhu, Qie Liu · 2023 · IEEE Transactions on Industrial Informatics
28. Deep Learning for Inertial Positioning: A Survey
    Changhao Chen, Xianfei Pan · 2024 · IEEE Transactions on Intelligent Transportation Systems
29. GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
    Xinhong Ma, Tianzhu Zhang, Changsheng Xu · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
30. d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
    Xiang Xu, Xiong Hui Zhou, Ragav Venkatesan, Swaminathan Gurumurthy, Orchid Majumder · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
31. Unsupervised Domain Adaptation via Regularized Conditional Alignment
    Safa Cicek, Stefano Soatto · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
32. Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
    Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit J. Gosselin, Erik Scheme · 2020 · Frontiers in Bioengineering and Biotechnology
33. Learning on Attribute-Missing Graphs
    Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor Wai-Hung Tsang · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
34. MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
    Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
35. A Holistic Approach to Undesired Content Detection in the Real World
    Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Tai Hoi Lee, Steven Adler, Angela Jiang, Lilian Weng · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
36. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
    Victor G. Turrisi da Costa, Zara G., Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, V. Murino, Ricci Elisa · 2021
37. Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
    John Gideon, Melvin G McInnis, Emily Mower Provost · 2019 · IEEE Transactions on Affective Computing
38. Domain Adversarial Training for Accented Speech Recognition
    Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang, Mari Ostendorf E, Lei Xie · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
39. Can Emotion Be Transferred?—A Review on Transfer Learning for EEG-Based Emotion Recognition
    Wei Li, Wei Huan, Bowen Hou, Ye Tian, Zhen Zhang, Aiguo Song · 2021 · IEEE Transactions on Cognitive and Developmental Systems
40. Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
    Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
41. Domain Generalization with Domain-Specific Aggregation Modules
    Antonio D’Innocente, Barbara Caputo B · 2019 · Lecture notes in computer science
42. Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
    Chuan-Xian Ren, Yonghui Liu, Xi-Wen Zhang, Ke-Kun Huang · 2022 · IEEE Transactions on Image Processing
43. Robust Test-Time Adaptation in Dynamic Scenarios
    Longhui Yuan, Binhui Xie, Shuang Li · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations
    Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan · 2017 · IEEE Signal Processing Magazine
45. Learning From Synthetic Animals
    Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan Yuille · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
46. Jointly De-Biasing Face Recognition and Demographic Attribute Estimation
    Sixue Gong, Xiaoming Liu, Anil K. Jain · 2020 · Lecture notes in computer science
47. Category-Level Adversarial Adaptation for Semantic Segmentation using Purified Features
    Yawei Luo, Ping Liu, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
48. No-Reference Point Cloud Quality Assessment via Domain Adaptation
    Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
49. Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap
    Park, Tae Ha, D’Amico, Simone · 2024 · Advances in Space Research
50. Few-Shot Open-Set Recognition Using Meta-Learning
    Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno M. Vasconcelos · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
51. Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
    Marcos F. Criado, Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro · 2022 · Information Fusion
52. Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training
    Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng · 2022 · IEEE Transactions on Medical Imaging
53. Safe Self-Refinement for Transformer-based Domain Adaptation
    Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization
    Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang · 2018 · Lecture notes in computer science
55. Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
    Rui Zhao, Kang Wang, Hui Su, Qiang Ji · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
56. Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation
    Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander G. Hauptmann · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
57. Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation
    Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
58. Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
    Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang · 2020 · Lecture notes in computer science
59. SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
    Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
60. Transfer Learning-Based State of Charge and State of Health Estimation for Li-Ion Batteries: A Review
    Liyuan Shen, Jingjing Li, Lichao Meng, Lei Zhu, Heng Tao Shen · 2023 · IEEE Transactions on Transportation Electrification
61. Understanding Self-Training for Gradual Domain Adaptation
    Ananya Kumar, Tengyu Ma, Percy Liang · 2020 · arXiv (Cornell University)
62. Joint Adversarial Domain Adaptation
    Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Ming Huang · 2019 · ACM International Conference on Multimedia (ACM MM)
63. Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
    Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojša Jojić · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. Deep transfer learning for reducing health care disparities arising from biomedical data inequality
    Yan Gao, Yan Cui · 2020 · Nature Communications
65. Exploring uncertainty in pseudo-label guided unsupervised domain adaptation
    Jian Liang, Ran He, Zhenan Sun, Tieniu Tan · 2019 · Pattern Recognition
66. Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images
    Liang Yan, Bin Fan, Hongmin Liu, Chunlei Huo, Shiming Xiang, Chunhong Pan · 2019 · IEEE Transactions on Geoscience and Remote Sensing
67. Domain-invariant interpretable fundus image quality assessment
    Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang G. Shen · 2020 · Medical Image Analysis
68. C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection
    Hui Zhang, Guiyang Luo, Jinglin Li, Fei–Yue Wang · 2021 · IEEE Transactions on Intelligent Transportation Systems
69. MSCap: Multi-Style Image Captioning With Unpaired Stylized Text
    Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, Hanqing Lu · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. Open Compound Domain Adaptation
    Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
71. Understanding and Mitigating Annotation Bias in Facial Expression Recognition
    Yunliang Chen, Jungseock Joo · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
72. Improve Unsupervised Domain Adaptation with Mixup Training
    Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Ren Liu · 2020 · arXiv (Cornell University)
73. Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification
    Xiaoqiang Lu, Tengfei Gong, Xiangtao Zheng · 2019 · IEEE Transactions on Geoscience and Remote Sensing
74. Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
    Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi · 2018 · Lecture notes in computer science
75. Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
    Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang · 2019 · neural information processing systems
76. Fuzzy Multiple-Source Transfer Learning
    Jie Lu B, Hua Zuo, Guangquan Zhang · 2019 · IEEE Transactions on Fuzzy Systems
77. RPN Prototype Alignment For Domain Adaptive Object Detector
    Yixin Zhang, Zilei Wang, Yushi Mao · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
78. Universal Semi-Supervised Semantic Segmentation
    Tarun Kalluri, Girish Varma, Manmohan Krishna Chandraker, C. V. Jawahar · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
79. Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks
    Feng Liu, Guangquan Zhang, Jie Lu B · 2020 · IEEE Transactions on Fuzzy Systems
80. A survey of transfer learning for machinery diagnostics and prognostics
    Siya Yao, Qi Kang, MengChu Zhou, Muhyaddin Jamal Hosin Rawa, Abdullah M. Abusorrah · 2022 · Artificial Intelligence Review
81. Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis
    He Zhao, Huiqi Li, Sebastian Maurer‐Stroh, Yuhong Guo, Qiuju Deng, Li Cheng · 2018 · IEEE Transactions on Medical Imaging
82. Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
    Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang · 2020 · Lecture notes in computer science
83. Causal Attention for Unbiased Visual Recognition
    Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
84. Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
    Han Guo, Ramakanth Pasunuru, Mohit Bansal · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
85. Bispace Domain Adaptation Network for Remotely Sensed Semantic Segmentation
    Wei Liu, Fulin Su, Xinfei Jin, Hongxu Li, Rongjun Qin · 2020 · IEEE Transactions on Geoscience and Remote Sensing
86. TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
    Yuejiang Liu, Parth Kothari, Bastien van Delft, Baptiste Bellot-Gurlet, Taylor Mordan, Alexandre Alahi · 2021 · Infoscience (Ecole Polytechnique Fédérale de Lausanne)
87. Discriminative Manifold Distribution Alignment for Domain Adaptation
    Siya Yao, Qi Kang, MengChu Zhou, Muhyaddin Jamal Hosin Rawa, Aiiad Ahmad Albeshri · 2022 · IEEE Transactions on Systems Man and Cybernetics Systems
88. A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
    Mehdi Saman Azari, Francesco Flammini, Stefania Santini, Mauro Caporuscio · 2023 · IEEE Access
89. Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
    Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Jun Yang, David D. Zhang · 2019 · IEEE Transactions on Neural Networks and Learning Systems
90. A Survey on Deep Transfer Learning and Beyond
    Fuchao Yu, Xianchao Xiu, Yunhui Li · 2022 · Mathematics
91. Enabling country-scale land cover mapping with meter-resolution satellite imagery
    Xinyi Tong, Gui-Song Xia, Xiao Xiang Zhu · 2023 · ISPRS Journal of Photogrammetry and Remote Sensing
92. Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation
    Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Dong Xu, Wangmeng Zuo · 2019 · IEEE Transactions on Multimedia
93. A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery
    Ziling Huang, Zihao Lei, Guangrui Wen, Xin Huang, Haoxuan Zhou, Ruqiang Yan, Xuefeng Chen · 2021 · IEEE Transactions on Industrial Electronics
94. Class-Specific Reconstruction Transfer Learning for Visual Recognition Across Domains
    Shanshan Wang, Lei Zhang, Wangmeng Zuo, Bob Zhang · 2019 · IEEE Transactions on Image Processing
95. Domain Conditioned Adaptation Network
    Shuang Li, Chi Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Ming Huang, Jian Tang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
96. Boosting Tree-Assisted Multitask Deep Learning for Small Scientific Datasets
    Jiang Jian, Rui Wang, Menglun Wang, Kaifu Gao, Duc Duy Nguyen, Guo‐Wei Wei · 2020 · Journal of Chemical Information and Modeling
97. Multi-Level Domain Adaptive Learning for Cross-Domain Detection
    Rongchang Xie, Fei Richard Yu, Jiachao Wang, Yizhou Wang, Li Zhang · 2019 · IEEE International Conference on Computer Vision Workshops
98. Domain-Adaptive Few-Shot Learning
    An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen · 2021 · IEEE Winter Conference on Applications of Computer Vision
99. Recent Advances for Quantum Neural Networks in Generative Learning
    Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu et al. · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
100. Unsupervised Domain Adaptation With Distribution Matching Machines
     Yue Cao, Mingsheng Long, Jianmin Wang · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence