Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
SdcNet: A Computation-Efficient CNN for Object Recognition Yunlong Ma Chunyan Wang 21 3 0 03 May 2018
Low-memory convolutional neural networks through incremental depth-first processing Jonathan Binas Yoshua Bengio SupR 28 3 0 28 Apr 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip Feiwen Zhu Jeff Pool M. Andersch J. Appleyard Fung Xie 22 29 0 26 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 13 88 0 26 Apr 2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism Nicolas Weber F. Schmidt Mathias Niepert Felipe Huici 14 9 0 23 Apr 2018
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation Rana Ali Amjad Kairen Liu Bernhard C. Geiger FAtt 27 18 0 18 Apr 2018
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Príncipe 22 73 0 18 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 16 105 0 17 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 16 17 0 05 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition Zhiyuan Li Nanjun Teng Min Jin Huaxiang Lu 20 51 0 04 Apr 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 14 58 0 28 Mar 2018
Task dependent Deep LDA pruning of neural networks Qing Tian Tal Arbel James J. Clark 16 0 0 21 Mar 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 27 329 0 19 Mar 2018
Fast Neural Architecture Construction using EnvelopeNets Purushotham Kamath Abhishek Singh Debo Dutta 3DPC 17 7 0 18 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion Zhourong Chen Xiaopeng Li N. Zhang 13 2 0 16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 22 12 0 15 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression Dong Wang Lei Zhou Xueni Zhang Xiao Bai Jun Zhou 18 47 0 15 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields Xiaopeng Li Zhourong Chen N. Zhang 16 0 0 14 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 58 3,392 0 09 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage Qiuyu Zhu Ruixin Zhang 3DH 28 5 0 07 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 26 178 0 28 Feb 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 35 196 0 27 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 29 47 0 21 Feb 2018
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator Jeff Zhang Tianyu Gu K. Basu S. Garg 14 134 0 11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,342 0 10 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe-nan Lin Jianmin Wang 30 406 0 01 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 36 65 0 31 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe-nan Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 27 25 0 29 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 28 177 0 23 Jan 2018
Faster gaze prediction with dense networks and Fisher pruning Lucas Theis I. Korshunova Alykhan Tejani Ferenc Huszár 34 204 0 17 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 19 18,998 0 13 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference Mengye Ren A. Pokrovsky Binh Yang R. Urtasun 27 179 0 07 Jan 2018
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos Ruichi Yu Hongcheng Wang L. Davis 24 23 0 06 Jan 2018
Deep Hashing with Category Mask for Fast Video Retrieval Xuantong Liu Lili Zhao Dajun Ding Yajiao Dong 13 8 0 22 Dec 2017
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks Tianshui Chen Liang Lin W. Zuo Xiaonan Luo Lei Zhang 21 56 0 20 Dec 2017
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks Eunwoo Kim Chanho Ahn Songhwai Oh 23 2 0 11 Dec 2017
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning Mengwei Xu Feng Qian Mengze Zhu Feifan Huang Saumay Pushp Xuanzhe Liu 36 23 0 01 Dec 2017
WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin Yingzhen Yang N. Xu Jianchao Yang Nebojsa Jojic Jiashi Feng Shuicheng Yan 19 2 0 28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 36 626 0 26 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger 44 796 0 25 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 42 462 0 22 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 44 795 0 16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 56 1,274 0 15 Nov 2017
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution Haoyu Ren Mostafa El-Khamy Jungwon Lee SupR 33 27 0 11 Nov 2017
Interpreting Convolutional Neural Networks Through Compression R. Abbasi-Asl Bin-Xia Yu FAtt 19 21 0 07 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm Xiaoliang Dai Hongxu Yin N. Jha DD 47 231 0 06 Nov 2017