Aditya Golatkar, Alessandro Achille, Stefano Soatto. Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 10677-10687, 2019. [doi]
@inproceedings{GolatkarAS19,
title = {Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence},
author = {Aditya Golatkar and Alessandro Achille and Stefano Soatto},
year = {2019},
url = {http://papers.nips.cc/paper/9252-time-matters-in-regularizing-deep-networks-weight-decay-and-data-augmentation-affect-early-learning-dynamics-matter-little-near-convergence},
researchr = {https://researchr.org/publication/GolatkarAS19},
cites = {0},
citedby = {0},
pages = {10677-10687},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}