Incrementally learning new classes with generative classification

Projektinformationen

GenClassifier4CL

ID Finanzhilfevereinbarung: 101067759

DOI

10.3030/101067759

Projekt abgeschlossen

EK-Unterschriftsdatum 23 Juni 2022

Startdatum 1 Oktober 2022

Enddatum 30 September 2024

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 191 760,00

Koordiniert durch

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Conference proceedings (4)

Continual Learning of Diffusion Models with Generative Distillation

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

Prediction Error-based Classification for Class-Incremental Learning

Autoren: Michał Zając, Tinne Tuytelaars, Gido M van de Ven
Veröffentlicht in: Proceedings of The Twelfth International Conference on Learning Representations - ICLR 2024, 2024
Herausgeber: OpenReview.net

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

Autoren: Timm Hess, Tinne Tuytelaars, Gido M van de Ven
Veröffentlicht in: Proceedings of the 1st ContinualAI Unconference, 2023, Ausgabe 249, 2024
Herausgeber: PMLR

Continual evaluation for lifelong learning: Identifying the stability gap

Autoren: Matthias De Lange, Gido M van de Ven, Tinne Tuytelaars
Veröffentlicht in: Proceedings of The Eleventh International Conference on Learning Representations - ICLR 2023, 2023
Herausgeber: OpenReview.net

Peer reviewed articles (1)

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

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

Other (1)

Continual Learning and Catastrophic Forgetting

Autoren: Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
Veröffentlicht in: arXiv, 2024
Herausgeber: arXiv
DOI: 10.48550/ARXIV.2403.05175