Model Compression Algorithm via Reinforcement Learning and Knowledge Distillation
Botao Liu, Bing-Bing Hu, Ming Zhao, Sheng-Lung Pen, Jou-Ming Chang
Mathematics, vol. 11, no. 22, (2023) Article 4589.
The above article has been cited by the articles listed below.
Pierre Vilar Dantas, Waldir Sabino da Silva Jr, Lucas Carvalho Cordeiro, Celso Barbosa Carvalho,
A comprehensive review of model compression techniques in machine learning
,
Applied Intelligence
54 (2024) 11804-11844.
(*)
Fatimah Faiza Farrukh, Manar Amayri,
Query-Distill: Cloud-Fog collaboration with knowledge distillation and confidence-based querying for smart buildings
,
Building and Environment
287, Part B (2026) 113836.
(*)
Mustafa M. Zayer, Zaid Ghanim Ali, Yasser Abdulrahim Ahmed, Salima Baji Abdullah, Matai Nagi Saeed,
Real-time semantic segmentation for energy-efficient autonomous vehicle navigation
,
JOIV: International Journal on Informatics Visualization
10(2) (2026) 768-776.
Harish Janardhanan
Model compression and knowledge distillation techniques for accelerating inference in large generative AI models
,
5th International Conference on Communication, Computing and Electronics Systems (ICCCES)
21-23 January 2026, Coimbatore, India, IEEE Xplore.
Times cited:
2
(from Web of Science)