Bin Dai, Wenliang Li, David P. Wipf. On the Value of Infinite Gradients in Variational Autoencoder Models. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 7180-7192, 2021. [doi]
@inproceedings{DaiLW21,
title = {On the Value of Infinite Gradients in Variational Autoencoder Models},
author = {Bin Dai and Wenliang Li and David P. Wipf},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/3a15c7d0bbe60300a39f76f8a5ba6896-Abstract.html},
researchr = {https://researchr.org/publication/DaiLW21},
cites = {0},
citedby = {0},
pages = {7180-7192},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}