Importance Estimation for Neural Network Pruning

25 June 2019

Papers citing "Importance Estimation for Neural Network Pruning"

50 / 439 papers shown

Title
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 33 64 0 11 Mar 2021
Manifold Regularized Dynamic Network Pruning Yehui Tang Yunhe Wang Yixing Xu Yiping Deng Chao Xu Dacheng Tao Chang Xu 30 91 0 10 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 24 11 0 09 Mar 2021
Artificial Neural Networks generated by Low Discrepancy Sequences A. Keller Matthijs Van Keirsbilck 19 5 0 05 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 Feb 2021
Neural Architecture Search as Program Transformation Exploration Jack Turner Elliot J. Crowley Michael F. P. O'Boyle 27 14 0 12 Feb 2021
Learning from Shader Program Traces Yuting Yang Connelly Barnes Adam Finkelstein 13 3 0 08 Feb 2021
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains Le Thanh Nguyen-Meidine Atif Belal M. Kiran Jose Dolz Louis-Antoine Blais-Morin Eric Granger 25 25 0 18 Jan 2021
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks Po-Hsiang Yu Sih-Sian Wu Liang-Gee Chen VLM 19 0 0 17 Jan 2021
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN Jingfei Chang Yang Lu Ping Xue Yiqun Xu Zhen Wei 31 38 0 16 Jan 2021
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation Li-Wei Chen Wei-Chen Chiu Chin-Tien Wu 36 0 0 28 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 19 45 0 20 Dec 2020
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 29 144 0 16 Dec 2020
E2E-FS: An End-to-End Feature Selection Method for Neural Networks Brais Cancela V. Bolón-Canedo Amparo Alonso-Betanzos 13 9 0 14 Dec 2020
EVRNet: Efficient Video Restoration on Edge Devices Sachin Mehta Amit Kumar F. Reda Varun Nasery Vikram Mulukutla Rakesh Ranjan Vikas Chandra 9 11 0 03 Dec 2020
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 27 38 0 25 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 26 25 0 20 Nov 2020
ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving Pruning Chengming Zhang Geng Yuan Wei Niu Jiannan Tian Sian Jin ... Zhe Jiang Yanzhi Wang Bin Ren Shuaiwen Leon Song Dingwen Tao 3DV 24 1 0 20 Nov 2020
MGIC: Multigrid-in-Channels Neural Network Architectures Moshe Eliasof Jonathan Ephrath Lars Ruthotto Eran Treister 39 7 0 17 Nov 2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains R. Schoonhoven A. Hendriksen D. Pelt K. Batenburg 3DPC 22 4 0 13 Nov 2020
Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks Jun Nishikawa Ryoji Ikegaya MQ 18 1 0 13 Nov 2020
Channel Planting for Deep Neural Networks using Knowledge Distillation Kakeru Mitsuno Yuichiro Nomura Takio Kurita 28 2 0 04 Nov 2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks Kakeru Mitsuno Takio Kurita 11 6 0 04 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 21 122 0 31 Oct 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough Mao Ye Lemeng Wu Qiang Liu 15 17 0 29 Oct 2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking Baopu Li Yanwen Fan Zhihong Pan Gang Zhang 28 1 0 22 Oct 2020
PHEW: Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data S. M. Patil C. Dovrolis 6 17 0 22 Oct 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 166 0 21 Oct 2020
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination Cole Hawkins Xing-er Liu Zheng-Wei Zhang BDL MQ 8 28 0 17 Oct 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 29 9 0 16 Oct 2020
Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed Dong Li Sitong Chen Xudong Liu Yunda Sun Li Zhang VLM 18 4 0 14 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 16 88 0 05 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks Po-Hsiang Yu Sih-Sian Wu Jan P. Klopp Liang-Gee Chen Shao-Yi Chien MQ 25 14 0 05 Oct 2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration Jingfei Chang Yang Lu Ping Xue Xing Wei Zhen Wei 8 2 0 03 Oct 2020
Grow-Push-Prune: aligning deep discriminants for effective structural network compression Qing Tian Tal Arbel James J. Clark 8 8 0 29 Sep 2020
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters Xudong Wang Stella X. Yu 13 36 0 25 Sep 2020
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana Robert P. Dick 26 51 0 24 Sep 2020
Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN August Lidfeldt Daniel Isaksson Ludwig Hedlund Simon Åberg Markus Borg E. Larsson 6 2 0 11 Sep 2020
OrthoReg: Robust Network Pruning Using Orthonormality Regularization Ekdeep Singh Lubana Puja Trivedi C. Hougen Robert P. Dick Alfred Hero 29 1 0 10 Sep 2020
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach Malena Reiners K. Klamroth Michael Stiglmayr 8 16 0 31 Aug 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity Cong Guo B. Hsueh Jingwen Leng Yuxian Qiu Yue Guan Zehuan Wang Xiaoying Jia Xipeng Li M. Guo Yuhao Zhu 35 1 0 29 Aug 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework Haotao Wang Shupeng Gui Haichuan Yang Ji Liu Zhangyang Wang 6 81 0 25 Aug 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 23 163 0 07 Jul 2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning Bailin Li Bowen Wu Jiang Su Guangrun Wang Liang Lin 14 174 0 06 Jul 2020
Weight-dependent Gates for Network Pruning Yun Li Zechun Liu Weiqun Wu Haotian Yao Xinming Zhang Chi Zhang B. Yin 31 13 0 04 Jul 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks Eugene Lee Chen-Yi Lee 8 14 0 23 Jun 2020
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge A. Rajagopal C. Bouganis 6 5 0 15 Jun 2020
Pruning neural networks without any data by iteratively conserving synaptic flow Hidenori Tanaka D. Kunin Daniel L. K. Yamins Surya Ganguli 25 629 0 09 Jun 2020
Weight Pruning via Adaptive Sparsity Loss George Retsinas Athena Elafrou G. Goumas Petros Maragos 37 10 0 04 Jun 2020
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks Zejiang Hou S. Kung 14 5 0 28 May 2020