Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

sponsorship: This work was supported by the German Federal Ministry of Education and Research (BMBF): Tübingen AI Center, FKZ: 01IS18039A. This research utilized compute resources at the Tübingen Machine Learning Cloud, DFG FKZ INST 37/1057-1 FUGG. We thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting SD. This work was supported by the National Centre of Science (Poland) Grants No. 2020/39/B/ST6/01511 and 2022/45/B/ST6/02817.

Publication Details

Journal
Lirias (KU Leuven)
Published
2025-01-01
Primary Topic
Pregnancy and preeclampsia studies
Type
article
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article

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

Lirias (KU Leuven)
Pregnancy and preeclampsia studies
article

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

article en

Abstract

sponsorship: This work was supported by the German Federal Ministry of Education and Research (BMBF): Tübingen AI Center, FKZ: 01IS18039A. This research utilized compute resources at the Tübingen Machine Learning Cloud, DFG FKZ INST 37/1057-1 FUGG. We thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting SD. This work was supported by the National Centre of Science (Poland) Grants No. 2020/39/B/ST6/01511 and 2022/45/B/ST6/02817.

Lirias (KU Leuven)
Openalex Percentile: Top 37%
Pregnancy and preeclampsia studies
Open Access PDFOpenAlex
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Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization · Lirias (KU Leuven) (2025) | TGRS Research Map | TGRS