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"

50 / 186 papers shown

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An optical neural network using less than 1 photon per multiplication Tianyu Wang Shifan Ma Logan G. Wright Tatsuhiro Onodera Brian C. Richard Peter L. McMahon 46 177 0 27 Apr 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 13 36 0 20 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 20 18 0 16 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 33 11 0 01 Apr 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms Nitthilan Kanappan Jayakodi J. Doppa P. Pande GAN 28 4 0 23 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton Julien P. C. Valentin 13 627 0 18 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 31 64 0 11 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
Reduced-Order Neural Network Synthesis with Robustness Guarantees R. Drummond M. Turner S. Duncan 13 9 0 18 Feb 2021
NetCut: Real-Time DNN Inference Using Layer Removal Mehrshad Zandigohar Deniz Erdogmus G. Schirner 15 5 0 13 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 73 100 0 04 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 48 140 0 21 Dec 2020
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices Liekang Zeng Xu Chen Zhi Zhou Lei Yang Junshan Zhang 39 201 0 06 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 42 116 0 25 Nov 2020
DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision Jing Yang James P. Wilson Shalabh Gupta 14 6 0 16 Nov 2020
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs Shayan Moini Shanquan Tian Jakub Szefer Daniel E. Holcomb R. Tessier 16 39 0 15 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Y. Shrestha Vaibhav Krishna G. Krogh 29 165 0 02 Nov 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 25 225 0 30 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 24 47 0 28 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 22 69 0 02 Sep 2020
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation Sajjad Abbasi M. Hajabdollahi P. Khadivi N. Karimi Roshank Roshandel S. Shirani S. Samavi 14 18 0 01 Sep 2020
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 9 45 0 10 Aug 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node Alfio Di Mauro Francesco Conti Pasquale Davide Schiavone D. Rossi Luca Benini 11 9 0 17 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 9 22 0 01 Jul 2020
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs A. Rajagopal D. A. Vink Stylianos I. Venieris C. Bouganis MQ 16 14 0 16 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 36 82 0 10 Jun 2020
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators Francisco Munoz-Martínez José L. Abellán M. Acacio T. Krishna 12 11 0 10 Jun 2020
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques S. Hari Michael B. Sullivan Timothy Tsai S. Keckler 21 66 0 08 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 19 30 0 08 Jun 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 25 390 0 20 May 2020
Cross-filter compression for CNN inference acceleration Fuyuan Lyu Shien Zhu Weichen Liu MQ 12 0 0 18 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 22 52 0 08 May 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain Weitao Li Pengfei Xu Yang Katie Zhao Haitong Li Yuan Xie Yingyan Lin 9 68 0 03 May 2020
Lupulus: A Flexible Hardware Accelerator for Neural Networks Andreas Toftegaard Kristensen R. Giterman Alexios Balatsoukas-Stimming A. Burg 26 0 0 03 May 2020
A Survey on Impact of Transient Faults on BNN Inference Accelerators N. Khoshavi Connor Broyles Yu Bi 16 8 0 10 Apr 2020
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality Yiqin Zhao Tian Guo 3DPC 14 29 0 30 Mar 2020
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks Karim Guirguis Christoph Schorn A. Guntoro Sherif Abdulatif Bin Yang 8 54 0 03 Mar 2020
Machine Learning based prediction of noncentrosymmetric crystal materials Yuqi Song Joseph Lindsay Yong Zhao Alireza Nasiri Steph-Yves M. Louis Jie Ling Ming Hu Jianjun Hu 9 21 0 26 Feb 2020
Sparse Optimization for Green Edge AI Inference Xiangyu Yang Sheng Hua Yuanming Shi Hao Wang Jun Zhang Khaled B. Letaief 19 14 0 24 Feb 2020
HarDNN: Feature Map Vulnerability Evaluation in CNNs Abdulrahman Mahmoud S. Hari Christopher W. Fletcher Sarita Adve Charbel Sakr Naresh R Shanbhag Pavlo Molchanov Michael B. Sullivan Timothy Tsai S. Keckler 11 38 0 22 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM Aayush Ankit I. E. Hajj S. R. Chalamalasetti S. Agarwal M. Marinella M. Foltin J. Strachan D. Milojicic Wen-mei W. Hwu Kaushik Roy 13 65 0 24 Dec 2019
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators Tien-Ju Yang Vivienne Sze 3DH 8 44 0 18 Dec 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators Weiwen Jiang Qiuwen Lou Zheyu Yan Lei Yang J. Hu X. S. Hu Yiyu Shi 11 71 0 31 Oct 2019
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving Der-Hau Lee Kuan-Lin Chen Kuan-Han Liou Chang-Lun Liu Jinn-Liang Liu BDL 17 58 0 26 Oct 2019
A Survey of Machine Learning Applied to Computer Architecture Design Drew Penney Lizhong Chen AI4CE 14 28 0 26 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling A. Mohammad C. Masouros Y. Andreopoulos 11 28 0 12 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 63 604 0 02 Sep 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 25 3 0 05 Aug 2019