Omer Elkabetz, Nadav Cohen. Continuous vs. Discrete Optimization of Deep Neural Networks. 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 4947-4960, 2021. [doi]
@inproceedings{ElkabetzC21,
title = {Continuous vs. Discrete Optimization of Deep Neural Networks},
author = {Omer Elkabetz and Nadav Cohen},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/274ad4786c3abca69fa097b85867d9a4-Abstract.html},
researchr = {https://researchr.org/publication/ElkabetzC21},
cites = {0},
citedby = {0},
pages = {4947-4960},
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},
}