Learning both Weights and Connections for Efficient Neural Networks

8 June 2015

Song Han

Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

50 / 1,151 papers shown

Title
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 44 56 0 05 Dec 2017
Cascade R-CNN: Delving into High Quality Object Detection Zhaowei Cai Nuno Vasconcelos ObjD 79 4,868 0 03 Dec 2017
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks Ruizhou Ding Z. Liu Rongye Shi Diana Marculescu R. D. Blanton MQ 24 37 0 02 Dec 2017
Transfer Learning with Binary Neural Networks Sam Leroux Steven Bohez Tim Verbelen B. Vankeirsbilck Pieter Simoens Bart Dhoedt MQ 21 4 0 29 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks Franyell Silfa Gem Dot J. Arnau Antonio González 33 39 0 20 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 30 281 0 16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 59 1,277 0 15 Nov 2017
Deep Rewiring: Training very sparse deep networks G. Bellec David Kappel Wolfgang Maass Robert Legenstein BDL 29 275 0 14 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 21 172 0 07 Nov 2017
Accelerating Training of Deep Neural Networks via Sparse Edge Processing Sourya Dey Yinan Shao K. Chugg Peter A. Beerel 38 16 0 03 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 39 232 0 01 Nov 2017
Knowledge Projection for Deep Neural Networks Zhi Zhang G. Ning Zhihai He 38 15 0 26 Oct 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
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 25 270 0 19 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design Zhourui Song Zhenyu Liu Dongsheng Wang 31 41 0 22 Sep 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 35 140 0 15 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 36 10 0 13 Sep 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis A. Chung M. Shafiee Paul Fieguth A. Wong 32 4 0 07 Sep 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 33 1,119 0 06 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 88 824 0 22 Aug 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures Fernando Moya Rueda René Grzeszick G. Fink CVBM 22 17 0 21 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 128 2,508 0 19 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 30 37 0 13 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 36 81 0 10 Jul 2017
Tensor-Train Recurrent Neural Networks for Video Classification Yinchong Yang Denis Krompass Volker Tresp 33 242 0 06 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer Yuntao Chen Naiyan Wang Zhaoxiang Zhang FedML 57 220 0 05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 559 0 05 Jul 2017
Bolt: Accelerated Data Mining with Fast Vector Compression Davis W. Blalock John Guttag MQ 28 30 0 30 Jun 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 30 12 0 13 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 27 5 0 08 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 37 95 0 07 Jun 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang W. Dally 27 241 0 24 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 19 276 0 11 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 33 176 0 03 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units Shaoshuai Shi Xiaowen Chu 29 43 0 25 Apr 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 98 4,615 0 16 Apr 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 24 480 0 03 Apr 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 22 4 0 29 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 28 157 0 27 Mar 2017
Low Precision Neural Networks using Subband Decomposition S. Chai Aswin Raghavan David C. Zhang Mohamed R. Amer Timothy J. Shields 29 2 0 24 Mar 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 32 56 0 17 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 63 1,630 0 03 Mar 2017
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition Xuefeng Xiao Lianwen Jin Yafeng Yang Weixin Yang Jun Sun Tianhai Chang 21 153 0 26 Feb 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 37 412 0 13 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 50 503 0 03 Feb 2017