Projects funded by the NCN
Acceleration and compression of deep neural networks using low-rank approximation methods
2023/49/N/ST6/02697
Keywords:
neural network compression dimensionality reduction low-rank approximation matrix factorization tensor factorization
Descriptors:
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- ST6_12: Scientific computing, simulation and modelling tools
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Politechnika Wrocławska
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 22 - announced on 2023-03-16
Amount awarded: 89 694 PLN
Project start date (Y-m-d): 2024-01-29
Project end date (Y-m-d): 2026-01-28
Project duration:: 24 months (the same as in the proposal)
Project status: Pending project
Project description
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