Yuhta Takida, Takashi Shibuya 0001, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji. SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 20987-21012, PMLR, 2022. [doi]
@inproceedings{Takida0LLOUMTKM22,
title = {SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization},
author = {Yuhta Takida and Takashi Shibuya 0001 and Wei-Hsiang Liao and Chieh-Hsin Lai and Junki Ohmura and Toshimitsu Uesaka and Naoki Murata and Shusuke Takahashi and Toshiyuki Kumakura and Yuki Mitsufuji},
year = {2022},
url = {https://proceedings.mlr.press/v162/takida22a.html},
researchr = {https://researchr.org/publication/Takida0LLOUMTKM22},
cites = {0},
citedby = {0},
pages = {20987-21012},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}