Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model

Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song Chun Zhu, Ying Nian Wu. Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pages 8670-8679, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{HanNFHZW19,
  title = {Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model},
  author = {Tian Han and Erik Nijkamp and Xiaolin Fang and Mitch Hill and Song Chun Zhu and Ying Nian Wu},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPR_2019/html/Han_Divergence_Triangle_for_Joint_Training_of_Generator_Model_Energy-Based_Model_CVPR_2019_paper.html},
  researchr = {https://researchr.org/publication/HanNFHZW19},
  cites = {0},
  citedby = {0},
  pages = {8670-8679},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}