Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Magnitude and Uncertainty Pruning Criterion for Neural Networks V. Ko Stefan Oehmcke Fabian Gieseke 13 3 0 10 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference Thomas Verelst Tinne Tuytelaars 11 149 0 06 Dec 2019
The Search for Sparse, Robust Neural Networks J. Cosentino Federico Zaiter Dan Pei Jun Zhu AAML OOD 8 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 21 109 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 21 12 0 01 Dec 2019
Pruning at a Glance: Global Neural Pruning for Model Compression Abdullah Salama O. Ostapenko T. Klein Moin Nabi VLM 14 12 0 30 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,591 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 17 18 0 25 Nov 2019
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 48 588 0 25 Nov 2019
Few Shot Network Compression via Cross Distillation Haoli Bai Jiaxiang Wu Irwin King Michael Lyu FedML 28 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 15 3 0 20 Nov 2019
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 16 22 0 19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 22 112 0 19 Nov 2019
Fine-Grained Neural Architecture Search Heewon Kim Seokil Hong Bohyung Han Heesoo Myeong Kyoung Mu Lee AI4CE 22 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 11 2 0 18 Nov 2019
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 29 140 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 30 30 0 16 Nov 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 31 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 27 5 0 13 Nov 2019
Structural Pruning in Deep Neural Networks: A Small-World Approach Gokul Krishnan Xiaocong Du Yu Cao 22 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 31 488 0 06 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 25 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 27 82 0 31 Oct 2019
Multi-scale Octave Convolutions for Robust Speech Recognition Joanna Rownicka P. Bell Steve Renals 19 16 0 31 Oct 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 31 16 0 29 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 19 106 0 28 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 25 74 0 27 Oct 2019
Cross-Channel Intragroup Sparsity Neural Network Zhilin Yu Chao Wang Xin Wang Qing Wu Yong Zhao Xundong Wu 19 1 0 26 Oct 2019
Fast Hardware-Aware Neural Architecture Search Li Zhang Yuqing Yang Yuhang Jiang Wenwu Zhu Yunxin Liu 3DV 28 60 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 50 11 0 21 Oct 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF) Yinan Yu Samuel Scheidegger T. McKelvey 19 2 0 21 Oct 2019
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning Ke Zhan Shi-qiang Jiang Yunru Bai Yuan Li Xu Liu Zhuoran Xu 29 0 0 21 Oct 2019
Self-Adaptive Network Pruning Jinting Chen Zhaocheng Zhu Chengwei Li Yuming Zhao 3DPC 25 21 0 20 Oct 2019
Path homologies of deep feedforward networks Samir Chowdhury Thomas Gebhart Steve Huntsman Matvey Yutin 19 23 0 16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 25 34 0 16 Oct 2019
Reduced-Order Modeling of Deep Neural Networks Julia Gusak Talgat Daulbaev E. Ponomarev A. Cichocki Ivan Oseledets BDL AI4CE 30 8 0 15 Oct 2019
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach Haichuan Yang Shupeng Gui Yuhao Zhu Ji Liu MQ 28 5 0 14 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 32 225 0 12 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 27 105 0 12 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang Meng Li Lemeng Wu Vikas Chandra Qiang Liu 46 20 0 07 Oct 2019
Splitting Steepest Descent for Growing Neural Architectures Qiang Liu Lemeng Wu Dilin Wang 18 61 0 06 Oct 2019
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Kartikeya Bhardwaj Guihong Li R. Marculescu 38 1 0 02 Oct 2019
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels Weiyu Guo Jiabin Ma Liang Wang Yongzhen Huang 14 5 0 29 Sep 2019
Training convolutional neural networks with cheap convolutions and online distillation Jiao Xie Shaohui Lin Yichen Zhang Linkai Luo 27 12 0 28 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 25 74 0 27 Sep 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 18 162 0 27 Sep 2019
Pruning from Scratch Yulong Wang Xiaolu Zhang Lingxi Xie Jun Zhou Hang Su Bo Zhang Xiaolin Hu 30 192 0 27 Sep 2019
Extremely Small BERT Models from Mixed-Vocabulary Training Sanqiang Zhao Raghav Gupta Yang Song Denny Zhou VLM 14 53 0 25 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 48 585 0 25 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 22 10 0 25 Sep 2019