Projects funded by the NCN
Are all representations catastrophically forgotten?
2022/45/N/ST6/04098
Keywords:
Continual Learning Incremental Learning Lifelong learning catastrophic forgetting transfer learning
Descriptors:
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych
woj.
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 21 - announced on 2022-03-28
Amount awarded: 139 690 PLN
Project start date (Y-m-d): 2023-01-03
Project end date (Y-m-d): 2025-01-02
Project duration:: 24 months (the same as in the proposal)
Project status: Project completed
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)
- The tunnel effect: Building data representations in deep neural networksAuthors:Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś, Tomasz TrzcinskiConference:Advances in Neural Information Processing Systems 36 (rok: 2024, tom: Neural Information Processing Systems (NeurIPS), strony: b.d.), Wydawca: Curran AssociatesData:konferencja 8.12.2023 - 12.12.2023Status:Published