Efficient Processing of Deep Neural Networks: A Tutorial and Survey

27 March 2017

Papers citing "Efficient Processing of Deep Neural Networks: A Tutorial and Survey"

36 / 186 papers shown

Title
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference Kai Yang Yuanming Shi Wei Yu Z. Ding 16 42 0 29 Jul 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard MQ 17 9 0 16 Jul 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 16 6 0 12 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 19 1,418 0 24 May 2019
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients Susmita Dey Manasi F. S. Snigdha S. Sapatnekar 18 16 0 09 May 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 12 1 0 03 Apr 2019
Multi-vision Attention Networks for On-line Red Jujube Grading Xiaoye Sun Liyan Ma Gongyang Li 9 9 0 31 Mar 2019
Automated Circuit Approximation Method Driven by Data Distribution Z. Vašíček Vojtěch Mrázek Lukás Sekanina 7 17 0 11 Mar 2019
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs Partha P. Maji Andrew Mundy Ganesh S. Dasika Jesse G. Beu Matthew Mattina Robert D. Mullins 16 26 0 04 Mar 2019
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers Chengcheng Li Z. Wang Xiangyang Wang Hairong Qi 11 5 0 18 Feb 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 19 43 0 04 Feb 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 11 27 0 29 Jan 2019
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning Kursat Rasim Mestav Jaime Luengo-Rozas L. Tong BDL 20 133 0 07 Nov 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision Biyi Fang Xiao Zeng Mi Zhang 3DH 12 263 0 23 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 11 4 0 18 Sep 2018
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation Xiao-Yun Zhou Guang-Zhong Yang 11 77 0 11 Sep 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 23 36 0 31 Jul 2018
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem Qiang Zhu Xixiang Lv 11 16 0 23 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 11 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 11 70 0 10 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 14 990 0 21 Jun 2018
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation Behzad Salami O. Unsal A. Cristal 15 66 0 14 Jun 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 16 147 0 26 May 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 33 75 0 16 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 25 1,303 0 12 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 23 873 0 03 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 22 701 0 26 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 21 70 0 19 Feb 2018
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar M. Abrishami Massoud Pedram FedML 24 247 0 25 Jan 2018
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? Manuele Rusci Lukas Cavigelli Luca Benini MQ 16 20 0 21 Nov 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 28 35 0 31 Jul 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks Denis A. Gudovskiy Luca Rigazio MQ 16 52 0 07 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units S. Shi Xiaowen Chu 15 43 0 25 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 101 1,502 0 25 Jan 2017