Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

3 January 2020

Yue Wang

Papers citing "Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference"

13 / 13 papers shown

Title
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark Chaojian Li Zhongzhi Yu Yonggan Fu Yongan Zhang Yang Zhao Haoran You Qixuan Yu Yue Wang Yingyan Lin 89 109 0 19 Mar 2021
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs Zhourong Chen Yang Li Samy Bengio Si Si 59 98 0 27 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 104 876 0 21 Nov 2018
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 34 115 0 24 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 73 335 0 25 May 2018
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 51 489 0 05 Dec 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 82 463 0 22 Nov 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 101 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 189 2,519 0 19 Jul 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution Lanlan Liu Jia Deng 67 201 0 02 Jan 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 140 4,342 0 16 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 207 8,793 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 254 6,628 0 08 Jun 2015