Meta-learning in Deep Neural Networks
2023/49/B/ST6/01137
Keywords
Descriptors
- ST6_07: Sztuczna inteligencja, systemy inteligentne i wieloagentowe
- ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
Panel
ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution
Uniwersytet Jagielloński, Wydział Matematyki i Informatyki
Voivodeship: małopolskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 8
Call
OPUS 25 – announced on 2023-03-16
- Amount awarded
- 1 103 331 PLN
- Project start date
- 2024-01-29
- Project end date
- 2028-01-28
- Project duration
- 48 months (the same as in the proposal)
- Project status
- Pending project
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
Articles in post-conference publications (1)
-
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
- Authors:
- Aleksandra Irena Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor
- Conference:
- Proceedings of the 41st International Conference on Machine Learning (year: 2024, volume: International Conference on Machine Learning (ICML), pages: 38474 - 38494), Publisher: JMLR.org
- Date:
- conference Czerwiec 21 - 27, 2024
- Status:
- Published
- DOI:
- 10.48550/arXiv.2406.01755 – link to the publication