Projects funded by the NCN
Improving the transferability of self-supervised learning models
2023/49/N/ST6/03268
Keywords:
machine learning deep learning fast adaptation fine-tuning continual learning catastrophic forgetting few-shot learning self-supervised learning
Descriptors:
- ST6_11:
- ST6_07:
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet Jagielloński, Wydział Matematyki i Informatyki
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 22 - announced on 2023-03-16
Amount awarded: 120 663 PLN
Project start date (Y-m-d): 2024-01-23
Project end date (Y-m-d): 2026-01-22
Project duration:: 24 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
- Publication in academic press/journals (1)
- Articles in post-conference publications (1)
- Augmentation-aware self-supervised learning with conditioned projectorAuthors:Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek ŚmiejaAcademic press:Knowledge-Based Systems (rok: 2024, tom: 305, strony: 112572), Wydawca: ElsevierStatus:PublishedDOI:10.1016/j.knosys.2024.112572 - link to the publication
- A Deep Cut Into Split Federated Self-Supervised LearningAuthors:Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek ŚmiejaConference:Machine Learning and Knowledge Discovery in Databases. Research Track (ECML PKDD 2024) (rok: 2024, tom: ECML PKDD 2024, strony: 444-459), Wydawca: SpringerData:konferencja 9-13 września 2024Status:PublishedDOI:10.1007/978-3-031-70344-7_26 - link to the publication