标题
A Survey of Unsupervised Deep Domain Adaptation
作者
关键词
-
出版物
ACM Transactions on Intelligent Systems and Technology
Volume 11, Issue 5, Pages 1-46
出版商
Association for Computing Machinery (ACM)
发表日期
2020-07-06
DOI
10.1145/3400066
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation
- (2020) Yuan Yao et al. PATTERN RECOGNITION
- How Generative Adversarial Networks and Their Variants Work
- (2019) Yongjun Hong et al. ACM COMPUTING SURVEYS
- Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks
- (2019) Michele Tonutti et al. ROBOTICS AND AUTONOMOUS SYSTEMS
- Sample-to-sample correspondence for unsupervised domain adaptation
- (2018) Debasmit Das et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
- (2018) Faisal Mahmood et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Beyond Sharing Weights for Deep Domain Adaptation
- (2018) Artem Rozantsev et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep visual domain adaptation: A survey
- (2018) Mei Wang et al. NEUROCOMPUTING
- Adaptive Batch Normalization for practical domain adaptation
- (2018) Yanghao Li et al. PATTERN RECOGNITION
- Heterogeneous Domain Adaptation Through Progressive Alignment
- (2018) Jingjing Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Unsupervised Domain Adaptation by Mapped Correlation Alignment
- (2018) Yun Zhang et al. IEEE Access
- Visual Domain Adaptation: A survey of recent advances
- (2015) Vishal M Patel et al. IEEE SIGNAL PROCESSING MAGAZINE
- A survey of multi-source domain adaptation
- (2015) Shiliang Sun et al. Information Fusion
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Transfer learning using computational intelligence: A survey
- (2015) Jie Lu et al. KNOWLEDGE-BASED SYSTEMS
- Transfer Learning for Visual Categorization: A Survey
- (2015) Ling Shao et al. IEEE Transactions on Neural Networks and Learning Systems
- Transfer learning for activity recognition: a survey
- (2013) Diane Cook et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Multi-domain learning by confidence-weighted parameter combination
- (2009) Mark Dredze et al. MACHINE LEARNING
- A theory of learning from different domains
- (2009) Shai Ben-David et al. MACHINE LEARNING
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