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
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 13 88 0 26 Apr 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling Liyuan Liu Xiang Ren Jingbo Shang Jian-wei Peng Jiawei Han 27 44 0 20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 22 165 0 18 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 88 389 0 16 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar FedML 27 61 0 10 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 30 434 0 10 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 22 17 0 05 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models B. Rouhani Huili Chen F. Koushanfar 46 48 0 02 Apr 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 14 58 0 28 Mar 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng 25 28 0 27 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications Zheng Qin Zhaoning Zhang Shiqing Zhang Hao Yu Yuxing Peng 11 7 0 24 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 22 295 0 23 Mar 2018
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs Zhe Li Shuo Wang Caiwen Ding Qinru Qiu Yanzhi Wang Yun Liang GNN 22 21 0 20 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 31 80 0 16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 22 12 0 15 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Speaker Verification using Convolutional Neural Networks Hossein Salehghaffari 18 25 0 14 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network M. Gamal Mennatullah Siam Moemen Abdel-Razek SSeg 33 59 0 10 Mar 2018
Variance Networks: When Expectation Does Not Meet Your Expectations Kirill Neklyudov Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov UQCV 22 23 0 10 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 28 179 0 28 Feb 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs Xuhao Chen 21 25 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 28 33 0 27 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 41 4 0 26 Feb 2018
Wide Compression: Tensor Ring Nets Wenqi Wang Yifan Sun Brian Eriksson Wenlin Wang Vaneet Aggarwal 13 167 0 25 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 38 109 0 23 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 32 97 0 20 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 31 70 0 19 Feb 2018
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks Qi Liu Tao Liu Zihao Liu Yanzhi Wang Yier Jin Wujie Wen AAML 35 48 0 14 Feb 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks Zhihao Jia Sina Lin C. Qi A. Aiken 37 117 0 14 Feb 2018
Attention-Based Guided Structured Sparsity of Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 29 23 0 13 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy Zheng Qin Zhaoning Zhang Xiaotao Chen Yuxing Peng MQ 29 104 0 11 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 37 21 0 10 Feb 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
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 38 989 0 07 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 31 144 0 06 Feb 2018
Re-Weighted Learning for Sparsifying Deep Neural Networks Igor Fedorov Bhaskar D. Rao 24 1 0 05 Feb 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 46 39 0 05 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 22 12 0 03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 36 406 0 01 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 36 65 0 31 Jan 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
Binary output layer of feedforward neural networks for solving multi-class classification problems Sibo Yang Chao Zhang Wei Wu MQ 16 8 0 22 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 15 35 0 19 Jan 2018
Faster gaze prediction with dense networks and Fisher pruning Lucas Theis I. Korshunova Alykhan Tejani Ferenc Huszár 34 204 0 17 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 27 275 0 10 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference Mengye Ren A. Pokrovsky Binh Yang R. Urtasun 27 179 0 07 Jan 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 29 132 0 14 Dec 2017