Data-free parameter pruning for Deep Neural Networks

22 July 2015

Papers citing "Data-free parameter pruning for Deep Neural Networks"

46 / 96 papers shown

Title
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 38 24 0 11 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need Eran Malach Gilad Yehudai Shai Shalev-Shwartz Ohad Shamir 64 272 0 03 Feb 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 38 34 0 24 Jan 2020
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli Gaurav Kumar Nayak Anirban Chakraborty R. Venkatesh Babu 30 36 0 27 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 35 313 0 04 Dec 2019
Collaborative Distillation for Top-N Recommendation Jae-woong Lee Minjin Choi Jongwuk Lee Hyunjung Shim 22 48 0 13 Nov 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 57 11 0 21 Oct 2019
Sparse Deep Neural Network Graph Challenge J. Kepner Simon Alford V. Gadepally Michael Jones Lauren Milechin Ryan A. Robinett S. Samsi GNN 21 49 0 02 Sep 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 Aug 2019
Distilled Siamese Networks for Visual Tracking Jianbing Shen Yuanpei Liu Xingping Dong Xiankai Lu Fahad Shahbaz Khan Guosheng Lin 24 101 0 24 Jul 2019
BasisConv: A method for compressed representation and learning in CNNs M. Tayyab Abhijit Mahalanobis 3DPC SSL 24 6 0 11 Jun 2019
Online Filter Clustering and Pruning for Efficient Convnets Zhengguang Zhou Wen-gang Zhou Richang Hong Houqiang Li 24 23 0 28 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 19 4 0 15 May 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 21 26 0 12 Mar 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 41 70 0 23 Jan 2019
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks M. Park Xiaofang Xu C. Brick MQ 27 8 0 20 Dec 2018
On Implicit Filter Level Sparsity in Convolutional Neural Networks Dushyant Mehta K. Kim Christian Theobalt 30 27 0 29 Nov 2018
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments Abdul Dakkak Cheng-rong Li Simon Garcia De Gonzalo Jinjun Xiong Wen-mei W. Hwu 21 19 0 24 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector Pravendra Singh Manikandan Ravikiran Neeraj Matiyali Vinay P. Namboodiri 33 21 0 20 Nov 2018
Efficient architecture for deep neural networks with heterogeneous sensitivity Hyunjoong Cho Jinhyeok Jang Chanhyeok Lee Seungjoon Yang 26 0 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,454 0 11 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions Jinhyeok Jang Hyunjoong Cho Jaehong Kim Jaeyeon Lee Seungjoon Yang 18 2 0 11 Sep 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 29 38 0 20 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 24 62 0 04 Jul 2018
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 15 115 0 24 Jun 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 35 1,343 0 10 Feb 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
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 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
Deep Rewiring: Training very sparse deep networks G. Bellec David Kappel Wolfgang Maass Robert Legenstein BDL 29 275 0 14 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,090 0 23 Oct 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 35 35 0 28 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 128 2,508 0 19 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 37 95 0 07 Jun 2017
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection Jonathan Shen Noranart Vesdapunt Vishnu Boddeti Kris Kitani 19 29 0 01 Dec 2016
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 27 204 0 21 Nov 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 90 0 20 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers Bharat Bhusan Sau V. Balasubramanian 29 181 0 30 Oct 2016
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis Zhourong Chen N. Zhang Dit-Yan Yeung Peixian Chen 26 14 0 17 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 114 3,660 0 31 Aug 2016
Compression of Neural Machine Translation Models via Pruning A. See Minh-Thang Luong Christopher D. Manning MedIm VLM 29 221 0 29 Jun 2016
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 47 1,102 0 25 Jun 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 216 0 25 Jan 2016
Sparsifying Neural Network Connections for Face Recognition Yi Sun Xiaogang Wang Xiaoou Tang 3DH CVBM 32 141 0 07 Dec 2015
Diversity Networks: Neural Network Compression Using Determinantal Point Processes Zelda E. Mariet S. Sra 30 129 0 16 Nov 2015