Disentangled Variational Auto-Encoder for semi-supervised learning

Yang Li; Quan Pan; Suhang Wang; Haiyun Peng; Tao Yang; Erik Cambria

doi:10.1016/j.ins.2018.12.057

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Disentangled Variational Auto-Encoder for semi-supervised learning

Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Erik Cambria

Year: 2019 Journal: Information Sciences Vol: 482 Pages: 73-85 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2018.12.057

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Keywords:

Computer science Classifier (UML) Artificial intelligence Feature learning Encoder Exploit Machine learning Semi-supervised learning Supervised learning Pattern recognition (psychology) Reinforcement learning Labeled data Representation (politics) Artificial neural network

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Disentangled Variational Auto-Encoder for semi-supervised learning

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