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Tiny Machine Learning: Progress and Futures

Tiny Machine Learning: Progress and Futures

28 March 2024
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
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Papers citing "Tiny Machine Learning: Progress and Futures"

17 / 17 papers shown
Title
A Survey on Collaborative Mechanisms Between Large and Small Language Models
A Survey on Collaborative Mechanisms Between Large and Small Language Models
Yi Chen
JiaHao Zhao
HaoHao Han
33
0
0
12 May 2025
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
Mohammad Maheri
Hamed Haddadi
Alex Davidson
63
0
0
27 Apr 2025
Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
Stanley Mugisha
Rashid Kisitu
Florence Tushabe
17
0
0
21 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Christophe El Zeinaty
W. Hamidouche
Glenn Herrou
D. Ménard
Merouane Debbah
41
0
0
13 Apr 2025
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Huu-Phong Phan-Nguyen
Anh Dao
T. Nguyen
Tuan Quang
H. Tran
Tinh-Anh Nguyen-Nhu
Huy-Thach Pham
Quan Nguyen
Hoang M. Le
Quang-Vinh Dinh
30
0
0
12 Apr 2025
Compound and Parallel Modes of Tropical Convolutional Neural Networks
Compound and Parallel Modes of Tropical Convolutional Neural Networks
Mingbo Li
Liying Liu
Ye Luo
35
0
0
09 Apr 2025
Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
Kong Ka Hing
Mehran Behjati
32
0
0
03 Apr 2025
Streaming Deep Reinforcement Learning Finally Works
Streaming Deep Reinforcement Learning Finally Works
Mohamed Elsayed
G. Vasan
A. R. Mahmood
OffRL
35
4
0
18 Oct 2024
On-Device Language Models: A Comprehensive Review
On-Device Language Models: A Comprehensive Review
Jiajun Xu
Zhiyuan Li
Wei Chen
Qun Wang
Xin Gao
Qi Cai
Ziyuan Ling
36
27
0
26 Aug 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Manuele Rusci
Francesco Paci
Marco Fariselli
Eric Flamand
Tinne Tuytelaars
25
0
0
22 Aug 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M
  Microcontrollers
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers
M. Deutel
Frank Hannig
Christopher Mutschler
Jürgen Teich
MQ
18
0
0
15 Jul 2024
A Progressive Framework of Vision-language Knowledge Distillation and
  Alignment for Multilingual Scene
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene
Wenbo Zhang
Yifan Zhang
Jianfeng Lin
Binqiang Huang
Jinlu Zhang
Wenhao Yu
VLM
36
1
0
17 Apr 2024
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource
  Constraints
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Francesco Corti
Balz Maag
Joachim Schauer
U. Pferschy
O. Saukh
24
2
0
22 Nov 2023
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
105
464
0
17 Oct 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural
  Networks for Edge Devices
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
Byung Hoon Ahn
Jinwon Lee
J. Lin
Hsin-Pai Cheng
Jilei Hou
H. Esmaeilzadeh
62
54
0
04 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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