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Continual self-supervised representation learning

2021/43/O/ST6/02482

Keywords:

machine learning neural networks continual learning representation learning self-supervised learning

Descriptors:

  • ST6_011:

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. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Tomasz Trzciński 

Number of co-investigators in the project: 2

Call: PRELUDIUM BIS 3 - announced on 2021-09-15

Amount awarded: 450 820 PLN

Project start date (Y-m-d): 2022-10-01

Project end date (Y-m-d): 2026-09-30

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 (3)
  1. Revisiting supervision for continual representation learning
    Authors:
    Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski
    Conference:
    18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VI (rok: 2024, tom: ECCV: European Conference on Computer Vision, strony: 181-197), Wydawca: Springer
    Data:
    konferencja 2024-09-29 -- 2024-10-04
    Status:
    Published
    DOI:
    10.1007/978-3-031-72658-3_11 - link to the publication
  2. MagMax: Leveraging Model Merging for Seamless Continual Learning
    Authors:
    Daniel Marczak, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert
    Conference:
    18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXV (rok: 2024, tom: ECCV: European Conference on Computer Vision, strony: 379–395), Wydawca: Springer
    Data:
    konferencja 2024-09-29 -- 2024-10-04
    Status:
    Published
    DOI:
    10.1007/978-3-031-73013-9_22 - link to the publication
  3. Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
    Authors:
    Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski
    Conference:
    18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI (rok: 2024, tom: ECCV: European Conference on Computer Vision, strony: 320–337), Wydawca: Springer
    Data:
    konferencja 2024-09-29 -- 2024-10-04
    Status:
    Published
    DOI:
    10.1007/978-3-031-73247-8_19 - link to the publication

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