Adversarial Learning Approach for Open Set Domain Adaptation

Kuniaki Saito; Shohei Yamamoto; Yoshitaka Ushiku; Tatsuya Harada

doi:10.1007/978-3-030-45529-3_10

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Adversarial Learning Approach for Open Set Domain Adaptation

Kuniaki Saito Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada

Year: 2020 Pages: 175-193

DOI: 10.1007/978-3-030-45529-3_10

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Keywords:

Classifier (UML) Computer science Domain adaptation Artificial intelligence Domain (mathematical analysis) Open set Class (philosophy) Set (abstract data type) Boundary (topology) Generator (circuit theory) Machine learning Adversarial system Pattern recognition (psychology) Mathematics Power (physics)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cancer-related molecular mechanisms research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Cancer Research

Adversarial Learning Approach for Open Set Domain Adaptation

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