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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown

Title
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners Huiyuan Zhuo Xuelin Qian Yanwei Fu Heng Yang Xiangyang Xue 74 37 0 14 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 302 483 0 12 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 116 36 0 12 Jun 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 186 403 0 08 Jun 2018
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 132 117 0 07 Jun 2018
Deep Mixture of Experts via Shallow Embedding Xin Wang Feng Yu Lisa Dunlap Yi-An Ma Ruth Wang Azalia Mirhoseini Trevor Darrell Joseph E. Gonzalez MoE 43 1 0 05 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 124 126 0 01 Jun 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 100 1,049 0 30 May 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 61 180 0 29 May 2018
A novel channel pruning method for deep neural network compression Yiming Hu Siyang Sun Jianquan Li Xingang Wang Qingyi Gu 75 67 0 29 May 2018
Constructing Fast Network through Deconstruction of Convolution Yunho Jeon Junmo Kim 93 72 0 28 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 80 211 0 23 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang AAML 93 62 0 14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage Yi-Min Chou Yi-Ming Chan Jia-Hong Lee Chih-Yi Chiu Chu-Song Chen MoMe 71 34 0 14 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time Rudra P. K. Poudel Ujwal D. Bonde Stephan Liwicki Christopher Zach SSeg 81 232 0 11 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 152 90 0 06 May 2018
Power Law in Sparsified Deep Neural Networks Lu Hou James T. Kwok 52 3 0 04 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition Yunlong Ma Chunyan Wang 25 3 0 03 May 2018
Low-memory convolutional neural networks through incremental depth-first processing Jonathan Binas Yoshua Bengio SupR 39 3 0 28 Apr 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip Feiwen Zhu Jeff Pool M. Andersch J. Appleyard Fung Xie 53 30 0 26 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 93 90 0 26 Apr 2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism Nicolas Weber F. Schmidt Mathias Niepert Felipe Huici 21 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 85 19 0 18 Apr 2018
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Príncipe 93 77 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 115 106 0 17 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 78 17 0 05 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition Zhiyuan Li Nanjun Teng Min Jin Huaxiang Lu 39 52 0 04 Apr 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 60 58 0 28 Mar 2018
Task dependent Deep LDA pruning of neural networks Qing Tian Tal Arbel James J. Clark 31 0 0 21 Mar 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 110 333 0 19 Mar 2018
Fast Neural Architecture Construction using EnvelopeNets Purushotham Kamath Abhishek Singh Debo Dutta 3DPC 69 7 0 18 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion Zhourong Chen Xiaopeng Li N. Zhang 47 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 64 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 80 47 0 15 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields Xiaopeng Li Zhourong Chen N. Zhang 20 0 0 14 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 379 3,491 0 09 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage Qiuyu Zhu Ruixin Zhang 3DH 33 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 63 115 0 06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 61 182 0 28 Feb 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 135 198 0 27 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 104 127 0 23 Feb 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 80 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 39 135 0 11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 123 1,350 0 10 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 75 52 0 02 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 107 408 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 78 66 0 31 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 76 25 0 29 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 102 177 0 23 Jan 2018
Faster gaze prediction with dense networks and Fisher pruning Lucas Theis I. Korshunova Alykhan Tejani Ferenc Huszár 94 207 0 17 Jan 2018