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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Title
Redistribution of Weights and Activations for AdderNet Quantization Ying Nie Kai Han Haikang Diao Chuanjian Liu Enhua Wu Yunhe Wang MQ 55 6 0 20 Dec 2022
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent Richard Archibald F. Bao Yanzhao Cao Hui‐Jie Sun 52 2 0 17 Dec 2022
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities Shristi Das Biswas Adarsh Kosta C. Liyanagedera M. Apolinario Kaushik Roy 29 18 0 19 Nov 2022
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud Fei Xu Jianian Xu Jiabin Chen Li Chen Ruitao Shang Zhi Zhou Fengyuan Liu GNN 30 35 0 03 Nov 2022
Improved Projection Learning for Lower Dimensional Feature Maps Ilan Price Jared Tanner 16 2 0 27 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 40 5 0 11 Oct 2022
One-shot Network Pruning at Initialization with Discriminative Image Patches Yinan Yang Yu Wang Yi Ji Heng Qi Jien Kato VLM 26 4 0 13 Sep 2022
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 23 6 0 12 Sep 2022
SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG Chao Zhang Zijian Tang Taoming Guo Jiaxin Lei Jiaxin Xiao Anhe Wang Shu-juan Bai Milin Zhang 14 3 0 03 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 29 20 0 03 Sep 2022
Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks Shengnan Di Y. Yang 29 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 59 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 54 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 22 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 30 5 0 16 Jul 2022
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs Bo-Kyeong Kim Shinkook Choi Hancheol Park 21 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 24 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 25 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 34 13 0 18 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 38 36 0 13 Apr 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 20 6 0 22 Mar 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 24 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 43 64 0 14 Mar 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 50 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 10 0 03 Mar 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 18 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 27 17 0 21 Feb 2022
SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. S. Hu Yiyu Shi 33 23 0 17 Feb 2022
Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles Yicun Duan Junyu Liu Wangkai Jin Xiangjun Peng 16 6 0 14 Feb 2022
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators Zhijing Li Yuwei Ye S. Neuendorffer Adrian Sampson 33 3 0 01 Feb 2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers Shuyue Guan Murray H. Loew 19 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 85 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 34 1 0 10 Dec 2021
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks Varun Chitturi Zaid Nabulsi 32 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 24 40 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 37 416 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 37 0 0 18 Nov 2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks Mahmood Azhar Qureshi Arslan Munir 27 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 56 9 0 05 Nov 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey M. M. Real Ruben Salvador AAML 23 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 39 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 42 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 26 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 27 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 41 19 0 01 Oct 2021
AI Accelerator Survey and Trends Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner 45 79 0 18 Sep 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