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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 57 13 0 02 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 127 399 0 01 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 106 57 0 01 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian Xinyu Lin Yanzhi Wang Bin Ren MQ 104 229 0 01 Jan 2020
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation Yu-Tao Chang Yuan-Hong Yang Yu-Huai Peng Syu-Siang Wang T. Chi Yu Tsao Hsin-Min Wang MoE 31 0 0 27 Dec 2019
Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy Francisco Erivaldo Fernandes Junior Gary G. Yen 48 1 0 24 Dec 2019
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration Wenxiao Wang Shuai Zhao Minghao Chen Jinming Hu Deng Cai Haifeng Liu 85 37 0 21 Dec 2019
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks Andrey Kuzmin Markus Nagel Saurabh Pitre Sandeep Pendyam Tijmen Blankevoort Max Welling 70 27 0 20 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 165 56 0 18 Dec 2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 81 210 0 18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 144 569 0 18 Dec 2019
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis Soroosh Khoram J. Li 27 1 0 18 Dec 2019
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud Shuang Zhang Liyao Xiang Congcong Li Yixuan Wang Quanshi Zhang Zeyu Liu Yue Liu FedML 36 1 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
$$\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks$ $\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 40 0 0 17 Dec 2019
Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin MoMe 183 630 0 11 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 36 0 0 11 Dec 2019
Magnitude and Uncertainty Pruning Criterion for Neural Networks V. Ko Stefan Oehmcke Fabian Gieseke 20 3 0 10 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference Thomas Verelst Tinne Tuytelaars 75 153 0 06 Dec 2019
The Search for Sparse, Robust Neural Networks J. Cosentino Federico Zaiter Dan Pei Jun Zhu AAML OOD 45 18 0 05 Dec 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Zuxuan Wu Caiming Xiong Yu-Gang Jiang L. Davis 84 110 0 03 Dec 2019
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition Biao Qian Yang Wang Zhao Zhang Richang Hong Meng Wang Ling Shao 45 12 0 01 Dec 2019
Pruning at a Glance: Global Neural Pruning for Model Compression Abdullah Salama O. Ostapenko T. Klein Moin Nabi VLM 45 12 0 30 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 107 2,713 0 27 Nov 2019
Structured Multi-Hashing for Model Compression Elad Eban Yair Movshovitz-Attias Hao Wu Mark Sandler Andrew Poon Yerlan Idelbayev M. A. Carreira-Perpiñán 78 18 0 25 Nov 2019
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 233 610 0 25 Nov 2019
Few Shot Network Compression via Cross Distillation Haoli Bai Jiaxiang Wu Irwin King Michael Lyu FedML 86 60 0 21 Nov 2019
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners Xiaolong Hu Zhulin An Chuanguang Yang Hui Zhu Kaiqiang Xu Yongjun Xu 45 3 0 20 Nov 2019
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 48 23 0 19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 86 118 0 19 Nov 2019
Fine-Grained Neural Architecture Search Heewon Kim Seokil Hong Bohyung Han Heesoo Myeong Kyoung Mu Lee AI4CE 57 13 0 18 Nov 2019
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity Dian Ang Yap Nicholas Roberts Vinay Uday Prabhu 22 2 0 18 Nov 2019
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 91 141 0 18 Nov 2019
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 75 30 0 16 Nov 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 42 2 0 15 Nov 2019
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection Hongxing Gao Wei Tao Dongchao Wen Junjie Liu Tse-Wei Chen Kinya Osa Masami Kato CVBM 34 5 0 13 Nov 2019
Structural Pruning in Deep Neural Networks: A Small-World Approach Gokul Krishnan Xiaocong Du Yu Cao 29 8 0 11 Nov 2019
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 114 508 0 06 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 63 10 0 06 Nov 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo Yin Zheng Mingkui Tan Qi Chen Jian Chen P. Zhao Junzhou Huang 155 85 0 31 Oct 2019
Multi-scale Octave Convolutions for Robust Speech Recognition Joanna Rownicka P. Bell Steve Renals 28 17 0 31 Oct 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 138 17 0 29 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 96 106 0 28 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 58 74 0 27 Oct 2019
Cross-Channel Intragroup Sparsity Neural Network Zhilin Yu Chao Wang Xin Wang Qing Wu Yong Zhao Xundong Wu 31 1 0 26 Oct 2019
Fast Hardware-Aware Neural Architecture Search Li Zhang Yuqing Yang Yuhang Jiang Wenwu Zhu Yunxin Liu 3DV 68 61 0 25 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 99 11 0 21 Oct 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF) Yinan Yu Samuel Scheidegger T. McKelvey 28 2 0 21 Oct 2019
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning Ke Zhan Shi-qiang Jiang Yunru Bai Yuezun Li Xu Liu Zhuoran Xu 31 0 0 21 Oct 2019
Self-Adaptive Network Pruning Jinting Chen Zhaocheng Zhu Chengwei Li Yuming Zhao 3DPC 48 22 0 20 Oct 2019