Empirical Inference

Kernel Mean Matching for Content Addressability of GANs

2019

Conference Paper

ei

Author(s): Jitkrittum*, W. and Sangkloy*, P. and Gondal, M. W. and Raj, A. and Hays, J. and Schölkopf, B.
Book Title: Proceedings of the 36th International Conference on Machine Learning (ICML)
Volume: 97
Pages: 3140--3151
Year: 2019
Month: June
Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan
Publisher: PMLR
Department(s): Empirical Inference
Research Project(s): Statistical Learning Theory
Neural Nets
Bibtex Type: Conference Paper (conference)
Event Place: Long Beach, California, USA
Note: *equal contribution
State: Published
URL: http://proceedings.mlr.press/v97/jitkrittum19a.html
Links: PDF

BibTex 

@conference{Jitkrittumetal19,
  title = {Kernel Mean Matching for Content Addressability of GANs},
  author = {Jitkrittum*, W. and Sangkloy*, P. and Gondal, M. W. and Raj, A. and Hays, J. and Sch{\"o}lkopf, B.},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
  volume = {97},
  pages = {3140--3151},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  publisher = {PMLR},
  month = jun,
  year = {2019},
  note = {*equal contribution},
  doi = {},
  url = {http://proceedings.mlr.press/v97/jitkrittum19a.html},
  month_numeric = {6}
}