A Survey of Model Compression and Acceleration for Deep Neural Networks

A Survey of Model Compression and Acceleration for Deep Neural Networks

23 October 2017

Papers citing "A Survey of Model Compression and Acceleration for Deep Neural Networks"

11 / 111 papers shown

Title
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 25 43 0 04 Feb 2019
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference Qing Qin Jie Ren Jia-Le Yu Ling Gao Hai Wang Jie Zheng Yansong Feng Jianbin Fang Zheng Wang 11 21 0 21 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions Jinhyeok Jang Hyunjoong Cho Jaehong Kim Jaeyeon Lee Seungjoon Yang 13 2 0 11 Sep 2018
Deep Learning Towards Mobile Applications Ji Wang Bokai Cao Philip S. Yu Lichao Sun Weidong Bao Xiaomin Zhu HAI 16 99 0 10 Sep 2018
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability Kai Y. Xiao Vincent Tjeng Nur Muhammad (Mahi) Shafiullah A. Madry AAML OOD 9 199 0 09 Sep 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners Huiyuan Zhuo Xuelin Qian Yanwei Fu Heng Yang Xiangyang Xue 19 37 0 14 Jun 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 14 20 0 25 May 2018
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 50 90 0 11 Apr 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya Ravi Tuan Dinh Vishnu Suresh Lokhande Vikas Singh AI4CE 13 22 0 17 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 30 1,303 0 12 Mar 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016