Tinne Tuytelaars

Joint Processing of Language and Visual Data for Better Automated Understanding (Dagstuhl Seminar 19021)

2019 · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

This report documents the program and the outcomes of Dagstuhl Seminar 19021 "Joint Processing of Language and Visual Data for Better Automated Understanding". It includes a discussion of the motivation and overall organization, the abstracts …

New Insights on Reducing Abrupt Representation Change in Online Continual Learning

2022 · arXiv (Cornell University)

In the online continual learning paradigm, agents must learn from a changing distribution while respecting memory and compute constraints. Experience Replay (ER), where a small subset of past data is stored and replayed alongside new …

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

2023 · arXiv (Cornell University)

Recent years have seen considerable progress in the continual training of deep neural networks, predominantly thanks to approaches that add replay or regularization terms to the loss function to approximate the joint loss over all …