Speeding up Convolutional Neural Networks with Low Rank Expansions

15 May 2014

Andrea Vedaldi

Papers citing "Speeding up Convolutional Neural Networks with Low Rank Expansions"

50 / 275 papers shown

Title
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 27 34 0 14 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 6 0 12 Jun 2019
BasisConv: A method for compressed representation and learning in CNNs M. Tayyab Abhijit Mahalanobis 3DPC SSL 24 6 0 11 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 32 50 0 05 Jun 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey Wenguan Wang Qiuxia Lai Huazhu Fu Jianbing Shen Haibin Ling Ruigang Yang 37 608 0 19 Apr 2019
Resource Efficient 3D Convolutional Neural Networks Okan Kopuklu Neslihan Köse Ahmet Gunduz Gerhard Rigoll 21 186 0 04 Apr 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 63 507 0 03 Apr 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 21 26 0 12 Mar 2019
CircConv: A Structured Convolution with Low Complexity Siyu Liao Zhe Li Liang Zhao Qinru Qiu Yanzhi Wang Bo Yuan 27 18 0 28 Feb 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 16 22 0 20 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 27 70 0 23 Jan 2019
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication Tayyebeh Jahani-Nezhad M. Maddah-ali 27 41 0 26 Dec 2018
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran 3DPC 36 31 0 26 Dec 2018
DAC: Data-free Automatic Acceleration of Convolutional Networks Xin Li Shuai Zhang Bolan Jiang Y. Qi Mooi Choo Choo Chuah N. Bi 21 7 0 20 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu X. Lin Xuehai Qian Yanzhi Wang MQ 14 64 0 12 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression Wei Wang Liqiang Zhu CVBM 20 13 0 10 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 27 92 0 23 Nov 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis Kasanagottu Sairam J. Mukherjee A. Patra P. Das 27 5 0 11 Nov 2018
Statistical Characteristics of Deep Representations: An Empirical Investigation Daeyoung Choi Kyungeun Lee Changho Shin Stephen J. Roberts AI4TS 21 2 0 08 Nov 2018
Demystifying Neural Network Filter Pruning Zhuwei Qin Fuxun Yu Adam Lesnikowski Xiang Chen 24 5 0 29 Oct 2018
Functionality-Oriented Convolutional Filter Pruning Zhuwei Qin Fuxun Yu Chenchen Liu Xiang Chen 24 4 0 12 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 24 147 0 08 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 60 1,176 0 04 Oct 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 14 27 0 28 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy Boyuan Feng Kun Wan Shu Yang Yufei Ding 33 4 0 07 Sep 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo Yuxi Li Weiyao Lin Yurong Chen Jianguo Li 3DV OOD 19 84 0 16 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 51 4,929 0 30 Jul 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 24 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
Automatic Rank Selection for High-Speed Convolutional Neural Network Hyeji Kim C. Kyung 27 5 0 28 Jun 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking Patrick H. Chen Si Si Yang Li Ciprian Chelba Cho-Jui Hsieh 24 67 0 18 Jun 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization Yibo Yang Nicholas Ruozzi Vibhav Gogate 21 2 0 14 Jun 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners Huiyuan Zhuo Xuelin Qian Yanwei Fu Heng Yang Xiangyang Xue 24 37 0 14 Jun 2018
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing Jianzhong Sheng Chuanbo Chen Chenchen Fu Chun Jason Xue 16 4 0 05 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 45 126 0 01 Jun 2018
Grow and Prune Compact, Fast, and Accurate LSTMs Xiaoliang Dai Hongxu Yin N. Jha VLM SyDa 31 90 0 30 May 2018
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 33 48 0 28 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 16 20 0 25 May 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 54 332 0 25 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 18 207 0 23 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 31 26 0 21 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
Robustness via Deep Low-Rank Representations Amartya Sanyal Varun Kanade Philip Torr P. Dokania OOD 27 16 0 19 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
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 388 0 16 Apr 2018