Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces

23 May 2019

Papers citing "Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces"

6 / 6 papers shown

Title
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks Lemeng Wu Bo Liu Peter Stone Qiang Liu 51 55 0 17 Feb 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 123 1 0 19 Mar 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 313 1,047 0 10 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 99 1,152 0 04 Mar 2015