Learning Hierarchical Features from Deep Generative Models
Year: 2017
Type: conference-paper
Authors: Shengjia Zhao, Jiaming Song, Stefano Ermon
Institutions: Stanford University, Huazhong Agricultural University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2963664914