Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Published in International Conference on Learning Representations (ICLR 2022), 2022
Recommended citation: Liu, S., Chen, T., Atashgahi, Z., Chen, X., Sokar, G., Mocanu, E., ... & Mocanu, D. C. (2021). FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. arXiv preprint arXiv:2106.14568. https://arxiv.org/pdf/2106.14568.pdf
@inproceedings{
liu2022deep,
title={Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity},
author={Shiwei Liu and Tianlong Chen and Zahra Atashgahi and Xiaohan Chen and Ghada Sokar and Elena Mocanu and Mykola Pechenizkiy and Zhangyang Wang and Decebal Constantin Mocanu},
booktitle={International Conference on Learning Representations},
year={2022},
url={https://openreview.net/forum?id=RLtqs6pzj1-}
}