A Powerful Generative Model Using Random Weights for the Deep Image Representation

Kun He, Yan Wang, John E. Hopcroft. A Powerful Generative Model Using Random Weights for the Deep Image Representation. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 631-639, 2016. [doi]

@inproceedings{HeWH16-1,
  title = {A Powerful Generative Model Using Random Weights for the Deep Image Representation},
  author = {Kun He and Yan Wang and John E. Hopcroft},
  year = {2016},
  url = {http://papers.nips.cc/paper/6568-a-powerful-generative-model-using-random-weights-for-the-deep-image-representation},
  researchr = {https://researchr.org/publication/HeWH16-1},
  cites = {0},
  citedby = {0},
  pages = {631-639},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
  editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}