Disentangled variational auto-encoder for semi-supervised learning

• Main Authors: Li, Yang, Pan, Quan, Wang, Suhang, Peng, Haiyun, Yang, Tao, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Semi-supervised Learning; Variational Auto-encoder
• Online Access: https://hdl.handle.net/10356/151222
• Institution: Nanyang Technological University

Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, has demonstrated the benefits of semi-supervised learning. The majority of existing semi-supervised VAEs utilize a classi...