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MCUNet: Tiny Deep Learning on IoT Devices

MCUNet: Tiny Deep Learning on IoT Devices

20 July 2020
Ji Lin
Wei-Ming Chen
Yujun Lin
J. Cohn
Chuang Gan
Song Han
ArXivPDFHTML

Papers citing "MCUNet: Tiny Deep Learning on IoT Devices"

50 / 171 papers shown
Title
On-device Training: A First Overview on Existing Systems
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
29
14
0
01 Dec 2022
Pex: Memory-efficient Microcontroller Deep Learning through Partial
  Execution
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
Edgar Liberis
Nicholas D. Lane
13
3
0
30 Nov 2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large
  Language Models
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao
Ji Lin
Mickael Seznec
Hao Wu
Julien Demouth
Song Han
MQ
61
731
0
18 Nov 2022
Multi-Objective Evolutionary for Object Detection Mobile Architectures
  Search
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search
Haichao Zhang
Jiashi Li
Xin Xia
K. Hao
Xuefeng Xiao
39
2
0
05 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
32
45
0
03 Nov 2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel
Colby R. Banbury
Daniel Situnayake
A. Elium
Carl Ward
...
Louis Moreau
Dmitry Maslov
A. Beavis
Jan Jongboom
Vijay Janapa Reddi
VLM
LRM
40
95
0
02 Nov 2022
MinUn: Accurate ML Inference on Microcontrollers
MinUn: Accurate ML Inference on Microcontrollers
Shikhar Jaiswal
R. Goli
Aayan Kumar
Vivek Seshadri
Rahul Sharma
21
2
0
29 Oct 2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Min-Zhi Ji
Saehanseul Yi
Chang-Mo Koo
Sol Ahn
Dongjoo Seo
N. Dutt
Jong-Chan Kim
40
16
0
08 Oct 2022
Improving the Performance of DNN-based Software Services using Automated
  Layer Caching
Improving the Performance of DNN-based Software Services using Automated Layer Caching
M. Abedi
Yanni Iouannou
Pooyan Jamshidi
Hadi Hemmati
20
0
0
18 Sep 2022
Self-Attentive Pooling for Efficient Deep Learning
Self-Attentive Pooling for Efficient Deep Learning
Fang Chen
Gourav Datta
Souvik Kundu
P. Beerel
74
6
0
16 Sep 2022
On-Device Domain Generalization
On-Device Domain Generalization
Kaiyang Zhou
Yuanhan Zhang
Yuhang Zang
Jingkang Yang
Chen Change Loy
Ziwei Liu
OOD
20
6
0
15 Sep 2022
Hardware Accelerator and Neural Network Co-Optimization for
  Ultra-Low-Power Audio Processing Devices
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
Christoph Gerum
Adrian Frischknecht
T. Hald
Paul Palomero Bernardo
Konstantin Lubeck
Oliver Bringmann
32
10
0
08 Sep 2022
Incremental Online Learning Algorithms Comparison for Gesture and Visual
  Smart Sensors
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors
Alessandro Avi
Andrea Albanese
Davide Brunelli
11
9
0
01 Sep 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
Michael Bechtel
QiTao Weng
H. Yun
BDL
21
7
0
23 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
40
3
0
22 Aug 2022
Restructurable Activation Networks
Restructurable Activation Networks
Kartikeya Bhardwaj
James Ward
Caleb Tung
Dibakar Gope
Lingchuan Meng
Igor Fedorov
A. Chalfin
P. Whatmough
Danny Loh
25
5
0
17 Aug 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networks
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
31
9
0
14 Jul 2022
Sparsifying Binary Networks
Sparsifying Binary Networks
Riccardo Schiavone
Maria A. Zuluaga
MQ
11
0
0
11 Jul 2022
An Ultra-low Power TinyML System for Real-time Visual Processing at Edge
An Ultra-low Power TinyML System for Real-time Visual Processing at Edge
Kunran Xu
Huawei Zhang
Yishi Li
Yuhao Zhang
Rui Lai
Yi Liu
14
22
0
11 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Device-Cloud Collaborative Recommendation via Meta Controller
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
26
17
0
07 Jul 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
27
6,222
0
06 Jul 2022
On-Device Training Under 256KB Memory
On-Device Training Under 256KB Memory
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Chuang Gan
Song Han
MQ
25
194
0
30 Jun 2022
Edge Security: Challenges and Issues
Edge Security: Challenges and Issues
Xin Jin
Charalampos Katsis
Fan Sang
Jiahao Sun
A. Kundu
Ramana Rao Kompella
39
8
0
14 Jun 2022
Compilation and Optimizations for Efficient Machine Learning on Embedded
  Systems
Compilation and Optimizations for Efficient Machine Learning on Embedded Systems
Xiaofan Zhang
Yao Chen
Cong Hao
Sitao Huang
Yuhong Li
Deming Chen
25
1
0
06 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
19
117
0
29 May 2022
Toward smart composites: small-scale, untethered prediction and control
  for soft sensor/actuator systems
Toward smart composites: small-scale, untethered prediction and control for soft sensor/actuator systems
Sarah Aguasvivas Manzano
V. Sundaram
Artemis Xu
K. Ly
M. Rentschler
R. Shepherd
N. Correll
19
5
0
22 May 2022
Energy-efficient Deployment of Deep Learning Applications on Cortex-M
  based Microcontrollers using Deep Compression
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression
M. Deutel
Philipp Woller
Christopher Mutschler
Jürgen Teich
45
4
0
20 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model Updates
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
30
11
0
13 May 2022
Reducing Neural Architecture Search Spaces with Training-Free Statistics
  and Computational Graph Clustering
Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering
T. Ingolfsson
Mark Vero
Xiaying Wang
Lorenzo Lamberti
Luca Benini
Matteo Spallanzani
GNN
11
3
0
29 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Yujun Lin
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
19
107
0
25 Apr 2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for
  Temporal Convolutional Networks
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
Francesco Conti
Lorenzo Lamberti
Enrico Macii
Luca Benini
M. Poncino
21
10
0
28 Mar 2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable
  Devices
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices
Alessio Burrello
Daniele Jahier Pagliari
Matteo Risso
Simone Benatti
Enrico Macii
Luca Benini
M. Poncino
16
41
0
24 Mar 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block
  Floating Point Support
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support
Seock-Hwan Noh
Jahyun Koo
Seunghyun Lee
Jongse Park
Jaeha Kung
AI4CE
21
17
0
13 Mar 2022
An Empirical Study of Low Precision Quantization for TinyML
An Empirical Study of Low Precision Quantization for TinyML
Shaojie Zhuo
Hongyu Chen
R. Ramakrishnan
Tommy Chen
Chen Feng
Yi-Rung Lin
Parker Zhang
Liang Shen
MQ
27
13
0
10 Mar 2022
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on
  Tiny Devices
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices
Shijin Duan
Xiaolin Xu
Shaolei Ren
26
12
0
09 Mar 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
16
13
0
08 Mar 2022
Dynamic ConvNets on Tiny Devices via Nested Sparsity
Dynamic ConvNets on Tiny Devices via Nested Sparsity
Matteo Grimaldi
Luca Mocerino
A. Cipolletta
A. Calimera
8
6
0
07 Mar 2022
Improving the Energy Efficiency and Robustness of tinyML Computer Vision
  using Log-Gradient Input Images
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
Qianyun Lu
B. Murmann
11
6
0
04 Mar 2022
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based
  Heart Rate Monitoring
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring
Alessio Burrello
Daniele Jahier Pagliari
Pierangelo Maria Rapa
Matilde Semilia
Matteo Risso
T. Polonelli
M. Poncino
Luca Benini
Simone Benatti
16
23
0
01 Mar 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
13
15
0
23 Feb 2022
TinyM$^2$Net: A Flexible System Algorithm Co-designed Multimodal
  Learning Framework for Tiny Devices
TinyM2^22Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices
Hasib-Al Rashid
Pretom Roy Ovi
Carl E. Busart
A. Gangopadhyay
T. Mohsenin
22
11
0
09 Feb 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Yiding Wang
D. Sun
Kai Chen
Fan Lai
Mosharaf Chowdhury
25
44
0
17 Jan 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
21
13
0
15 Jan 2022
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for
  Efficient Object Detection
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun
Ming Lin
Xiuyu Sun
Zhiyu Tan
Hao Li
Rong Jin
15
32
0
26 Nov 2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On
  Analog Compute-in-Memory Accelerator
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou
F. García-Redondo
Julian Büchel
I. Boybat
Xavier Timoneda Comas
S. Nandakumar
Shidhartha Das
A. Sebastian
M. Le Gallo
P. Whatmough
25
16
0
10 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
26
152
0
28 Oct 2021
Demystifying and Generalizing BinaryConnect
Demystifying and Generalizing BinaryConnect
Abhishek Sharma
Yaoliang Yu
Eyyub Sari
Mahdi Zolnouri
V. Nia
MQ
17
8
0
25 Oct 2021
Network Augmentation for Tiny Deep Learning
Network Augmentation for Tiny Deep Learning
Han Cai
Chuang Gan
Ji Lin
Song Han
17
29
0
17 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
10
18
0
15 Oct 2021
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