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Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

27 March 2017
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
    AAML
    3DV
ArXivPDFHTML

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

50 / 181 papers shown
Title
Efficient Fault Detection in WSN Based on PCA-Optimized Deep Neural Network Slicing Trained with GOA
Efficient Fault Detection in WSN Based on PCA-Optimized Deep Neural Network Slicing Trained with GOA
Mahmood Mohassel Feghhi
Raya Majid Alsharfa
Majid Hameed Majeed
19
0
0
11 May 2025
UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting
UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting
Maitreya Sonawane
Sumit Mamtani
63
0
0
28 Apr 2025
FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs
FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs
Xilong Xie
Liang Wang
Limin Xiao
Meng Han
L. Sun
S. Zheng
Xiangrong Xu
MQ
31
0
0
28 Apr 2025
A Survey on Multimodal Music Emotion Recognition
A Survey on Multimodal Music Emotion Recognition
Rashini Liyanarachchi
Aditya Joshi
Erik Meijering
29
1
0
26 Apr 2025
A 71.2-$μ$W Speech Recognition Accelerator with Recurrent Spiking Neural Network
A 71.2-μμμW Speech Recognition Accelerator with Recurrent Spiking Neural Network
Chih-Chyau Yang
Tian-Sheuan Chang
60
1
0
27 Mar 2025
RETHINED: A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting On Edge Devices
RETHINED: A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting On Edge Devices
Marcelo Sanchez
G. Triginer
Ignacio Sarasua
Lara Raad
C. Ballester
63
0
0
18 Mar 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
Junyi Guan
Abhijith Sharma
Chong Tian
Salem Lahlou
AAML
46
1
0
18 Feb 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Zhaoxian Wu
Quan Xian
Tayfun Gokmen
Omobayode Fagbohungbe
Tianyi Chen
91
0
0
17 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
62
3
0
11 Feb 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
42
1
0
28 Jan 2025
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model
Branislava Jankovic
Sabina Jangirova
Waseem Ullah
Latif U. Khan
Mohsen Guizani
31
0
0
21 Jan 2025
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
96
1
0
26 Nov 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
72
4
0
08 Aug 2024
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
Xinyi Wang
Angeliki V. Katsenou
David Bull
36
0
0
16 Jul 2024
Loki: A System for Serving ML Inference Pipelines with Hardware and
  Accuracy Scaling
Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling
Sohaib Ahmad
Hui Guan
Ramesh K. Sitaraman
32
4
0
04 Jul 2024
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
Rana Shahout
Michael Mitzenmacher
17
2
0
24 Jun 2024
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites
Ylva Gronningsaeter
Halvor S. Smorvik
Ole-Christoffer Granmo
29
6
0
02 Jun 2024
Scorch: A Library for Sparse Deep Learning
Scorch: A Library for Sparse Deep Learning
Bobby Yan
Alexander J. Root
Trevor Gale
David Broman
Fredrik Kjolstad
25
0
0
27 May 2024
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
32
0
0
25 May 2024
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
Haoxuan Yuan
Zhe Chen
Zheng Lin
Jinbo Peng
Zihan Fang
Yuhang Zhong
Zihang Song
Yue Gao
26
12
0
24 May 2024
TerDiT: Ternary Diffusion Models with Transformers
TerDiT: Ternary Diffusion Models with Transformers
Xudong Lu
Aojun Zhou
Ziyi Lin
Qi Liu
Yuhui Xu
Renrui Zhang
Yafei Wen
Shuai Ren
Peng Gao
Junchi Yan
MQ
42
2
0
23 May 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
Noah Lewis
J. L. Bez
Suren Byna
49
0
0
16 Apr 2024
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators
Jan Klhufek
Miroslav Safar
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
MQ
30
1
0
08 Apr 2024
Neural Architecture Search using Particle Swarm and Ant Colony
  Optimization
Neural Architecture Search using Particle Swarm and Ant Colony Optimization
Séamus Lankford
Diarmuid Grimes
22
9
0
06 Mar 2024
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond
  the Memory Budget
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
Kun Wang
Jiani Cao
Zimu Zhou
Zhenjiang Li
20
5
0
30 Jan 2024
A 1.6-mW Sparse Deep Learning Accelerator for Speech Separation
A 1.6-mW Sparse Deep Learning Accelerator for Speech Separation
Chih-Chyau Yang
Tian-Sheuan Chang
21
0
0
15 Dec 2023
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural
  Accelerators
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators
Zheyu Yan
X. Hu
Yiyu Shi
24
1
0
11 Dec 2023
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
24
5
0
09 Nov 2023
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators
Hansika Weerasena
Prabhat Mishra
FedML
49
4
0
01 Nov 2023
Artificial Intelligence for Molecular Communication
Artificial Intelligence for Molecular Communication
Max Bartunik
J. Kirchner
Oliver Keszöcze
9
3
0
05 Aug 2023
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
Sourjya Roy
Cheng Wang
A. Raghunathan
9
0
0
03 Aug 2023
Im2win: Memory Efficient Convolution On SIMD Architectures
Im2win: Memory Efficient Convolution On SIMD Architectures
Shuai-bing Lu
Jun Chu
Xuantong Liu
15
3
0
25 Jun 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT
  Edge Nodes
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Francesco Daghero
Alessio Burrello
Enrico Macii
P. Montuschi
M. Poncino
Daniele Jahier Pagliari
18
4
0
16 Jun 2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN
  Accelerators through Fault-Aware Quantization
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization
Muhammad Abdullah Hanif
Muhammad Shafique
AAML
29
2
0
21 May 2023
A Systematic Literature Review on Hardware Reliability Assessment
  Methods for Deep Neural Networks
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
29
25
0
09 May 2023
File Fragment Classification using Light-Weight Convolutional Neural
  Networks
File Fragment Classification using Light-Weight Convolutional Neural Networks
Mustafa Ghaleb
K. Saaim
Muhamad Felemban
S. Al-Saleh
Ahmad S. Al-Mulhem
17
1
0
01 May 2023
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN
  Accelerators
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators
Victor J. B. Jung
Arne Symons
L. Mei
Marian Verhelst
Luca Benini
8
3
0
20 Apr 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural
  Network Inference considering Approximate DRAMs for Embedded Systems
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
19
11
0
08 Apr 2023
Edge Deep Learning Model Protection via Neuron Authorization
Edge Deep Learning Model Protection via Neuron Authorization
Jinyin Chen
Haibin Zheng
T. Liu
Rongchang Li
Yao Cheng
Xuhong Zhang
S. Ji
FedML
11
0
0
22 Mar 2023
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed
  ML Training
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training
W. Tan
Xiao Shi
Cunchi Lv
Xiaofang Zhao
FedML
15
1
0
09 Mar 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight
  CNN Inference
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference
Farhad Taheri
Siavash Bayat Sarmadi
H. Mosanaei-Boorani
Reza Taheri
MQ
13
1
0
19 Feb 2023
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning
  Applications
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
Qiong Li
Chao Fang
Zhongfeng Wang
11
4
0
03 Feb 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
32
20
0
12 Jan 2023
A Theory of I/O-Efficient Sparse Neural Network Inference
A Theory of I/O-Efficient Sparse Neural Network Inference
Niels Gleinig
Tal Ben-Nun
Torsten Hoefler
17
0
0
03 Jan 2023
Through-life Monitoring of Resource-constrained Systems and Fleets
Through-life Monitoring of Resource-constrained Systems and Fleets
Felipe J. Montana
A. Hartwell
W. Jacobs
V. Kadirkamanathan
A. Mills
Tom S. Clark
9
1
0
03 Jan 2023
Redistribution of Weights and Activations for AdderNet Quantization
Redistribution of Weights and Activations for AdderNet Quantization
Ying Nie
Kai Han
Haikang Diao
Chuanjian Liu
Enhua Wu
Yunhe Wang
MQ
44
6
0
20 Dec 2022
Convergence Analysis for Training Stochastic Neural Networks via
  Stochastic Gradient Descent
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent
Richard Archibald
F. Bao
Yanzhao Cao
Hui‐Jie Sun
36
2
0
17 Dec 2022
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously
  Exploiting Image and Event Modalities
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
Shristi Das Biswas
Adarsh Kosta
C. Liyanagedera
M. Apolinario
Kaushik Roy
22
18
0
19 Nov 2022
Improved Projection Learning for Lower Dimensional Feature Maps
Improved Projection Learning for Lower Dimensional Feature Maps
Ilan Price
Jared Tanner
8
2
0
27 Oct 2022
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