Incrementally learning new classes with generative classification

Project Information

GenClassifier4CL

Grant agreement ID: 101067759

DOI

10.3030/101067759

Project closed

EC signature date 23 June 2022

Start date 1 October 2022

End date 30 September 2024

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 191 760,00

Coordinated by

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Career Development Plan

A Career Development Plan will be established jointly by the supervisor(s) and the researcher. In addition to research objectives, this plan will comprise the researcher's training and career needs, including training on transferable skills, teaching, planning for publications and participation in conferences and events aiming at opening science and research to citizens. The Plan can be updated when needed.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (4)

Continual Learning of Diffusion Models with Generative Distillation

Author(s): Sergi Masip, Pau Rodriguez, Tinne Tuytelaars, Gido M van de Ven
Published in: Proceedings of The 3rd Conference on Lifelong Learning Agents (CoLLAs), 2024
Publisher: To appear in PMLR

Prediction Error-based Classification for Class-Incremental Learning

Author(s): Michał Zając, Tinne Tuytelaars, Gido M van de Ven
Published in: Proceedings of The Twelfth International Conference on Learning Representations - ICLR 2024, 2024
Publisher: OpenReview.net

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How

Author(s): Timm Hess, Tinne Tuytelaars, Gido M van de Ven
Published in: Proceedings of the 1st ContinualAI Unconference, 2023, Issue 249, 2024
Publisher: PMLR

Continual evaluation for lifelong learning: Identifying the stability gap

Author(s): Matthias De Lange, Gido M van de Ven, Tinne Tuytelaars
Published in: Proceedings of The Eleventh International Conference on Learning Representations - ICLR 2023, 2023
Publisher: OpenReview.net

Peer reviewed articles (1)

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting

Author(s): Timm Hess, Eli Verwimp, Gido M van de Ven, Tinne Tuytelaars
Published in: Transactions on Machine Learning Research (TMLR), 2024, ISSN 2835-8856
Publisher: TMLR
DOI: 10.48550/arXiv.2304.00933

Other (1)

Continual Learning and Catastrophic Forgetting

Author(s): Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
Published in: arXiv, 2024
Publisher: arXiv
DOI: 10.48550/ARXIV.2403.05175