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"

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Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 23 6 0 12 Sep 2022
HammingMesh: A Network Topology for Large-Scale Deep Learning Torsten Hoefler Tommaso Bonato Daniele De Sensi Salvatore Di Girolamo Shigang Li Marco Heddes Jon Belk Deepak Goel Miguel Castro Steve Scott 3DH GNN AI4CE 18 20 0 03 Sep 2022
Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks Shengnan Di Y. Yang 19 6 0 30 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 51 5 0 26 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 49 59 0 02 Aug 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique MQ 8 4 0 31 Jul 2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation Yu-Shan Tai Cheng-Yang Chang Chieh-Fang Teng AnYeu A. Wu 25 5 0 16 Jul 2022
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs Bo-Kyeong Kim Shinkook Choi Hancheol Park 13 4 0 29 Jun 2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors Francesco Daghero Chenhao Xie Daniele Jahier Pagliari Alessio Burrello Marco Castellano Luca Gandolfi A. Calimera Enrico Macii M. Poncino BDL MQ 14 13 0 25 May 2022
Single-Shot Optical Neural Network Liane Bernstein Alexander Sludds C. Panuski Sivan Trajtenberg‐Mills R. Hamerly Dirk Englund BDL 29 44 0 18 May 2022
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling Yannan Nellie Wu Po-An Tsai A. Parashar Vivienne Sze J. Emer 23 57 0 12 May 2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator Miao Yu Tingting Xiang Venkata Pavan Kumar Miriyala Trevor E. Carlson 15 1 0 20 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 23 13 0 18 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 28 36 0 13 Apr 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 19 16 0 21 Mar 2022
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions A. Basu Charlotte Frenkel Lei Deng Xueyong Zhang 23 64 0 14 Mar 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 39 29 0 14 Mar 2022
A photonic chip-based machine learning approach for the prediction of molecular properties Hui Zhang Jonathan Wei Zhong Lau Lingxiao Wan Liang Shi H. Cai Xianshu Luo Guo-qiang Lo Chee-Kong Lee L. Kwek A. Liu 35 9 0 03 Mar 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 16 17 0 02 Mar 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 19 17 0 21 Feb 2022
SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. S. Hu Yiyu Shi 31 23 0 17 Feb 2022
Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles Yicun Duan Junyu Liu Wangkai Jin Xiangjun Peng 8 6 0 14 Feb 2022
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators Zhijing Li Yuwei Ye S. Neuendorffer Adrian Sampson 23 3 0 01 Feb 2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers Shuyue Guan Murray H. Loew 17 3 0 08 Jan 2022
An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen Chang Xu Minjing Dong Chunjing Xu Yunhe Wang 75 15 0 27 Dec 2021
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment Zhuangzhuang Dai Muhamad Risqi U. Saputra Chris Xiaoxuan Lu Andrew Markham A. Trigoni 21 1 0 10 Dec 2021
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks Varun Chitturi Zaid Nabulsi 25 7 0 30 Nov 2021
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication Linghao Song Yuze Chi Licheng Guo Jason Cong 14 40 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 32 416 0 24 Nov 2021
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation Mehdi Sadi B. M. S. Bahar Talukder Kaniz Mishty Md. Tauhidur Rahman AAML 29 0 0 18 Nov 2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks Mahmood Azhar Qureshi Arslan Munir 14 0 0 09 Nov 2021
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 54 9 0 05 Nov 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey M. M. Real Ruben Salvador AAML 15 30 0 21 Oct 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 37 64 0 20 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 31 61 0 13 Oct 2021
SoftNeuro: Fast Deep Inference using Multi-platform Optimization Masaki Hilaga Yasuhiro Kuroda Hitoshi Matsuo Tatsuya Kawaguchi Gabriel Ogawa Hiroshi Miyake Yusuke Kozawa 18 1 0 12 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 19 35 0 07 Oct 2021
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference Jude Haris Perry Gibson José Cano Nicolas Bohm Agostini David Kaeli 31 19 0 01 Oct 2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning Adarsh Kosta Malik Aqeel Anwar Priyadarshini Panda A. Raychowdhury Kaushik Roy 8 4 0 16 Sep 2021
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks Yantong Wang Ye Hu Zhaohui Yang Walid Saad Kai‐Kit Wong V. Friderikos 15 4 0 15 Aug 2021
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges J. Wan Xiaomin Li Hongning Dai A. Kusiak Miguel Martínez-García Di Li 33 153 0 07 Aug 2021
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks Erion-Vasilis M. Pikoulis C. Mavrokefalidis Aris S. Lalos 14 10 0 19 Jul 2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search Zheyu Yan Da-Cheng Juan X. S. Hu Yiyu Shi 30 24 0 06 Jul 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 4 32 0 05 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 24 45 0 01 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 365 0 16 Jun 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 40 14 0 08 Jun 2021
Agatha: Smart Contract for DNN Computation Zihan Zheng Peichen Xie Xian Zhang Shuo Chen Yang Chen Xiaobing Guo Guangzhong Sun Guangyu Sun Lidong Zhou GNN 31 11 0 11 May 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification M. Tolba H. Tesfai H. Saleh B. Mohammad Mahmoud Al-Qutayri 16 4 0 28 Apr 2021