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 / 1,191 papers shown

Title
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 27 152 0 22 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks Dae Hoon Park C. Ho Yi Chang Huaqing Zhang ODL 21 1 0 20 Nov 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 40 57 0 18 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 48 14 0 14 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
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks Amir H. Ashouri T. Abdelrahman Alwyn Dos Remedios MQ 16 12 0 10 Nov 2018
Deep Compression of Sum-Product Networks on Tensor Networks Ching-Yun Ko Cong Chen Yuke Zhang Kim Batselier Ngai Wong TPM 30 2 0 09 Nov 2018
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization Anish Acharya Rahul Goel A. Metallinou Inderjit Dhillon 25 58 0 01 Nov 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 23 26 0 01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 36 1,040 0 01 Nov 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision Biyi Fang Xiao Zeng Mi Zhang 3DH 34 264 0 23 Oct 2018
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy J. Roels Jonas De Vylder J. Aelterman Yvan Saeys Wilfried Philips 14 6 0 23 Oct 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 25 151 0 23 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen Xinyu Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Functionality-Oriented Convolutional Filter Pruning Zhuwei Qin Fuxun Yu Chenchen Liu Xiang Chen 30 4 0 12 Oct 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
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 29 31 0 10 Oct 2018
Rate Distortion For Model Compression: From Theory To Practice Weihao Gao Yu-Han Liu Chong-Jun Wang Sewoong Oh 30 31 0 09 Oct 2018
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges M. Mohammadi Ala I. Al-Fuqaha HAI 27 277 0 09 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 24 147 0 08 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer Ashnil Kumar M. Fulham Dagan Feng Jinman Kim MedIm 27 166 0 05 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 114 1,181 0 04 Oct 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 40 0 04 Oct 2018
Target Aware Network Adaptation for Efficient Representation Learning Yang Zhong Vladimir Li R. Okada A. Maki 21 6 0 02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 16 67 0 02 Oct 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 22 27 0 28 Sep 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 21 85 0 17 Sep 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 19 45 0 14 Sep 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
Deep Learning Towards Mobile Applications Ji Wang Bokai Cao Philip S. Yu Lichao Sun Weidong Bao Xiaomin Zhu HAI 32 98 0 10 Sep 2018
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang Jianguo Zhang Weidong Bao Xiaomin Zhu Bokai Cao Philip S. Yu 29 194 0 10 Sep 2018
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon 28 94 0 10 Sep 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy Boyuan Feng Kun Wan Shu Yang Yufei Ding 50 4 0 07 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 30 41 0 06 Sep 2018
An Adaptive Locally Connected Neuron Model: Focusing Neuron F. Boray Tek 27 5 0 31 Aug 2018
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification Xiaofeng Zhang Zhangyang Wang Dong Liu Qing Ling 16 89 0 29 Aug 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
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 13 14 0 08 Aug 2018
SlimNets: An Exploration of Deep Model Compression and Acceleration Ini Oguntola Subby Olubeko Chris Sweeney 32 11 0 01 Aug 2018
Extreme Network Compression via Filter Group Approximation Bo Peng Wenming Tan Zheyang Li Shun Zhang Di Xie Shiliang Pu 29 63 0 30 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 23 697 0 26 Jul 2018
Crossbar-aware neural network pruning Ling Liang Lei Deng Y. Zeng Xing Hu Yu Ji Xin Ma Guoqi Li Yuan Xie 36 41 0 25 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning Minjie Wang Chien-chin Huang Jinyang Li 54 154 0 24 Jul 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 29 38 0 20 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 22 72 0 11 Jul 2018
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-hsin Chen Tien-Ju Yang J. Emer Vivienne Sze MQ 18 70 0 10 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 37 108 0 09 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 26 62 0 04 Jul 2018