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 / 231 papers shown

Title
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 48 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 10 4 0 16 Sep 2021
Power-Based Attacks on Spatial DNN Accelerators Ge Li Mohit Tiwari Michael Orshansky 30 8 0 28 Aug 2021
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks Yantong Wang Ye Hu Zhaohui Yang Walid Saad Kai‐Kit Wong V. Friderikos 31 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 43 154 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 31 10 0 19 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 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 38 24 0 06 Jul 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 15 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 37 45 0 01 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 366 0 16 Jun 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 42 14 0 08 Jun 2021
ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing Supreeth Mysore Shivanandamurthy Ishan G. Thakkar S. A. Salehi 12 5 0 26 May 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 21 4 0 28 Apr 2021
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 48 177 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 17 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 24 18 0 16 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 37 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 13 629 0 18 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 33 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
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network Dengyu Wu Xinping Yi Xiaowei Huang 22 16 0 01 Mar 2021
Reduced-Order Neural Network Synthesis with Robustness Guarantees R. Drummond M. Turner S. Duncan 19 9 0 18 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 145 0 16 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
NetCut: Real-Time DNN Inference Using Layer Removal Mehrshad Zandigohar Deniz Erdogmus G. Schirner 17 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 81 100 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 59 140 0 21 Dec 2020
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons Simon Wiedemann Suhas Shivapakash P. Wiedemann Daniel Becking Wojciech Samek F. Gerfers Thomas Wiegand MQ 23 7 0 17 Dec 2020
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks Xiangyu Chang Yingcong Li Samet Oymak Christos Thrampoulidis 35 50 0 16 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 52 116 0 25 Nov 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation Thomas Verelst Tinne Tuytelaars SSeg 10 16 0 24 Nov 2020
DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision Jing Yang James P. Wilson Shalabh Gupta 16 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 21 39 0 15 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Yash Raj Shrestha Vaibhav Krishna G. Krogh 37 165 0 02 Nov 2020
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 6 19 0 25 Oct 2020
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions Ludwig Kurzinger Nicolas Lindae Palle Klewitz Gerhard Rigoll 24 5 0 15 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 41 47 0 28 Sep 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model Ling Pei Songpengcheng Xia Lei Chu Fanyi Xiao Qi Wu Wenxian Yu Zixuan Zhang 37 30 0 20 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 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 22 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 19 9 0 17 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 82 0 02 Jul 2020