Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

1 October 2015

Song Han

Papers citing "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding"

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Title
Deep Cuboid Detection: Beyond 2D Bounding Boxes Debidatta Dwibedi Tomasz Malisiewicz Vijay Badrinarayanan Andrew Rabinovich 19 18 0 30 Nov 2016
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 16 203 0 29 Nov 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 6 89 0 20 Nov 2016
Fast Video Classification via Adaptive Cascading of Deep Models Haichen Shen Seungyeop Han Matthai Philipose Arvind Krishnamurthy 18 78 0 20 Nov 2016
Quantized neural network design under weight capacity constraint Sungho Shin Kyuyeon Hwang Wonyong Sung MQ 24 2 0 19 Nov 2016
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning Hui Miao Ang Li L. Davis Amol Deshpande VLM MU 16 127 0 18 Nov 2016
GaDei: On Scale-up Training As A Service For Deep Learning Wei Zhang Minwei Feng Yunhui Zheng Yufei Ren Yandong Wang ... Peng Liu Bing Xiang Li Lyna Zhang Bowen Zhou Fei-Yue Wang ALM 24 10 0 18 Nov 2016
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning Hantian Zhang Jerry Li Kaan Kara Dan Alistarh Ji Liu Ce Zhang MQ 17 20 0 16 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y. Lu Abhishek Kumar Shuangfei Zhai Yu Cheng T. Javidi Rogerio Feris 3DH 21 384 0 16 Nov 2016
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 25 736 0 16 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 29 190 0 10 Nov 2016
Hierarchical compositional feature learning Miguel Lazaro-Gredilla Yi Liu D. Phoenix Dileep George BDL OCL 19 12 0 07 Nov 2016
Loss-aware Binarization of Deep Networks Lu Hou Quanming Yao James T. Kwok MQ 19 220 0 05 Nov 2016
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks Farkhondeh Kiaee Christian Gagné Mahdieh Abbasi 13 23 0 05 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks A. Ardakani C. Condo W. Gross 17 40 0 04 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers Bharat Bhusan Sau V. Balasubramanian 11 181 0 30 Oct 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning S. Anwar Wonyong Sung 3DPC 11 55 0 30 Oct 2016
Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene Keyu Lu Jian Li X. An Hangen He 9 1 0 30 Oct 2016
Bit-pragmatic Deep Neural Network Computing Jorge Albericio Patrick Judd A. Delmas Sayeh Sharify Andreas Moshovos MQ 19 237 0 20 Oct 2016
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 20 426 0 07 Oct 2016
Scalable Machine Translation in Memory Constrained Environments Paul Baltescu 14 0 0 06 Oct 2016
Accelerating Deep Convolutional Networks using low-precision and sparsity Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr 18 135 0 02 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 17 1,842 0 22 Sep 2016
A scalable convolutional neural network for task-specified scenarios via knowledge distillation Mengnan Shi F. Qin QiXiang Ye Zhenjun Han Jianbin Jiao 11 5 0 19 Sep 2016
Reduced Memory Region Based Deep Convolutional Neural Network Detection Denis Tomè Luca Bondi Emanuele Plebani L. Baroffio D. Pau Stefano Tubaro 14 11 0 08 Sep 2016
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding M. Shafiee A. Wong 24 23 0 06 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications Hande Alemdar V. Leroy Adrien Prost-Boucle F. Pétrot 8 204 0 01 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 29 3,651 0 31 Aug 2016
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks James Garland David Gregg MQ 11 28 0 30 Aug 2016
Scalable Compression of Deep Neural Networks Xing Wang Jie Liang 16 4 0 26 Aug 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Naresh Boddeti Marios Savvides MQ 20 251 0 22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 18 118 0 22 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 10 1,053 0 16 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 11 51 0 15 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 16 7,917 0 13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 16 2,319 0 12 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning Jongsoo Park Sheng R. Li W. Wen P. T. P. Tang Hai Helen Li Yiran Chen Pradeep Dubey 23 182 0 04 Aug 2016
Local Feature Detectors, Descriptors, and Image Representations: A Survey Yusuke Uchida 17 13 0 28 Jul 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods Xiaojie Jin Xiao-Tong Yuan Jiashi Feng Shuicheng Yan 6 78 0 19 Jul 2016
On the efficient representation and execution of deep acoustic models R. Álvarez Rohit Prabhavalkar A. Bakhtin MQ 27 55 0 15 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks Song Han Jeff Pool Sharan Narang Huizi Mao Enhao Gong ... Peter Vajda Manohar Paluri J. Tran Bryan Catanzaro W. Dally CVBM 25 83 0 15 Jul 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 41 528 0 13 Jul 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Hengyuan Hu Rui Peng Yu-Wing Tai Chi-Keung Tang 16 880 0 12 Jul 2016
Intra-layer Nonuniform Quantization for Deep Convolutional Neural Network Fangxuan Sun Jun Lin Zhongfeng Wang MQ 13 3 0 10 Jul 2016
Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks D. Lin S. Talathi 15 45 0 08 Jul 2016
Compression of Neural Machine Translation Models via Pruning A. See Minh-Thang Luong Christopher D. Manning MedIm VLM 10 221 0 29 Jun 2016
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 11 1,097 0 25 Jun 2016
Precise neural network computation with imprecise analog devices Jonathan Binas Daniel Neil Giacomo Indiveri Shih-Chii Liu Michael Pfeiffer 23 11 0 23 Jun 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks W. Pan Hao Dong Yike Guo 8 35 0 23 Jun 2016