Výsledky vyhledávání - "Model compression algorithms"

Neural Network Model Compression Algorithms for Image Classification in Embedded Systems

Autoři: Heejung Shin Hyondong Oh

Zdroj: Journal of Korea Robotics Society. 17:133-141

Témata: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Lightweight defect detection algorithm of tunnel lining based on knowledge distillation

Autoři: Anfu Zhu Jiaxiao Xie Bin Wang a další

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Témata: Tunnel detection, Deep learning, Model compression algorithms, Knowledge distillation, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/2c48d9ffa1864b07a8e27fc96ca723e0

Co-Designing Model Compression Algorithms and Hardware Accelerators for Efficient Deep Learning

Autoři: Zhao, Ritchie Zhang, Zhiru Batten, Christopher a další

Přispěvatelé: Zhao, Ritchie Zhang, Zhiru Batten, Christopher a další

Témata: Machine Learning, Hardware accelerators, 7. Clean energy, FPGA, Computer Architecture

Popis souboru: application/pdf

模型剪枝与低精度量化融合的DNN 模型压缩算法. (Chinese)

Alternate Title: DNN Model Compression Algorithms Based on Fusion of Model Pruning and Low-precision Quantization. (English)

Autoři: 吴进 杨雪 胡怡青

Zdroj: Telecommunication Engineering; 6/28/2020, Vol. 60 Issue 6, p617-624, 8p

Témata: ARTIFICIAL neural networks, SMARTPHONES, FELIDAE, VETERINARY hospitals, DEEP learning, MOBILE hospitals, PRUNING, DOGS

Personalized lightweight distributed network intrusion detection system in fog computing. (English)

Autoři: YE Tianpeng LIN Xiang LI Jianhua a další

Zdroj: Chinese Journal of Network & Information Security; Jun2023, Vol. 9 Issue 3, p28-37, 10p

面向多功能张量加速器的细粒度结构化稀疏设计. (Chinese)

Alternate Title: Fine-Grained Structured Sparse Design for Versatile Tensor Accelerator. (English)

Autoři: 赵桦筝 庞善民 赵英海 a další

Zdroj: Journal of Xi'an Jiaotong University; Nov2024, Vol. 58 Issue 11, p176-184, 9p

Bayesian model compression and federated learning via variational inference

Autoři: Lau, Vincent Kin Nang Tsang, Danny Hin Kwok Xia, Chengyu

Témata: Thesis

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-143490
https://doi.org/10.14711/thesis-991013340351903412
https://repository.hkust.edu.hk/ir/bitstream/1783.1-143490/1/th_redirect.html

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs

Autoři: Hu, Lanxiang Rosing, Tajana Zhang, Hao

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2412.11242

Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes

Autoři: Su, Xiaoxin Zhou, Yipeng Cui, Laizhong a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2402.03770

A compression pipeline for one-stage object detection model.

Autoři: Li, Zhishan Sun, Yiran Tian, Guanzhong a další

Zdroj: Journal of Real-Time Image Processing; Dec2021, Vol. 18 Issue 6, p1949-1962, 14p

Optimized Heart Disease Image Classification on Edge Devices Using Knowledge Distillation and Layer Compression.

Autoři: Prajapati, Yogendra N. Baloni, Dev Gupta, Avdhesh

Zdroj: Journal of Image & Graphics (United Kingdom); 2025, Vol. 13 Issue 5, p459-468, 10p

Témata: HEART diseases, CONVOLUTIONAL neural networks, DATA compression, DIAGNOSIS, SMART devices, CORONAVIRUS diseases, KNOWLEDGE transfer, IMAGE recognition (Computer vision)

Lightweight bearing fault diagnosis via decoupled distillation and low rank adaptation.

Autoři: Petrosian, Ovanes Li, Pengyi He, Yulong a další

Zdroj: Scientific Reports; 10/16/2025, Vol. 15 Issue 1, p1-15, 15p

Témata: DEEP learning, FAULT diagnosis, SIGNAL processing, KNOWLEDGE transfer, COMPUTER performance, STATISTICAL models

Navigating the fusion of federated learning and big data: a systematic review for the AI landscape.

Autoři: Haripriya, Rahul Khare, Nilay Pandey, Manish a další

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-27, 27p

Témata: FEDERATED learning, DATA privacy, ARTIFICIAL intelligence, MACHINE learning, SMART cities

A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples.

Autoři: Wang, Xiaoyao Du, Fuzhou Zhao, Delong a další

Zdroj: Journal of Intelligent Manufacturing; Oct2025, Vol. 36 Issue 7, p4785-4806, 22p

Témata: DEEP learning, MACHINE learning, SCIENTIFIC method, IMAGE analysis

A Fault Diagnosis Method for the Train Communication Network Based on Active Learning and Stacked Consistent Autoencoder.

Autoři: Yang, Yueyi Wang, Haiquan Nie, Xiaobo a další

Zdroj: Symmetry (20738994); Oct2025, Vol. 17 Issue 10, p1622, 17p

Témata: FAULT diagnosis, ACTIVE learning, AUTOENCODERS, PATTERN recognition systems, METADATA, RELIABILITY in engineering, RAILROAD communication systems, MACHINE learning

Structured Bayesian Compression for Deep Neural Networks Based on the Turbo-VBI Approach

Autoři: Xia, Chengyu Tsang, Hin Kwok Lau, Vincent Kin Nang

Témata: Deep neural networks, group sparsity, model compression, pruning, Neurons, Biological neural networks, Bayes methods, Sparse matrices, Topology, Network topology, Training, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-126715
https://doi.org/10.1109/TSP.2023.3252165
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2023&rft.spage=&rft.aulast=Xia&rft.aufirst=Chengyu&rft.atitle=Structured+Bayesian+Compression+for+Deep+Neural+Networks+Based+on+the+Turbo-VBI+Approach&rft.title=IEEE+TRANSACTIONS+ON+SIGNAL+PROCESSING
http://www.scopus.com/record/display.url?eid=2-s2.0-85149849905&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000957582800005

EPIM: Efficient Processing-In-Memory Accelerators based on Epitome

Autoři: Wang, Chenyu Dong, Zhen Zhou, Daquan a další

Témata: Computer Science - Hardware Architecture, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2311.07620

Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning

Autoři: Yu, Sixing Muñoz, J. Pablo Jannesari, Ali

Témata: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, text

URL: http://arxiv.org/abs/2310.00247

Data Model Compression Method Based on Iterative Pruning and Distillation for Edge Non-Intrusive Load Monitoring.

Autoři: Zhao, Sheng Li, Shukang Gao, Ping a další

Zdroj: Journal of Electrical Engineering & Technology (19750102); Sep2025, Vol. 20 Issue 6, p3709-3722, 14p

Agricultural Image Processing: Challenges, Advances, and Future Trends.

Autoři: Song, Xuehua Yan, Letian Liu, Sihan a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9206, 45p

Témata: AGRICULTURAL technology, PRECISION farming, DATA management, AGRICULTURAL remote sensing, AGRICULTURAL forecasts