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Showing papers from Google DeepMind, Gatsby UCL Show all papers

45%Niche pick
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NeurIPS 2026Google DeepMind, Gatsby UCLU ColoradoGoogle DeepMindGoogleTest-time compute

Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production

Alexandre Galashov, Matt Jones, Nan Rosemary Ke, Yuan Cao and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026Google DeepMind, Gatsby UCLGoogle DeepMindU OxfordGoogle DeepMind, MilaActive learning

On the Pitfalls of Instance-Based Dynamic Curricula

Alexandre Galashov, Amal Rannen-Triki, Yee Whye Teh, Razvan Pascanu and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Google DeepMind, Gatsby UCLU TübingenUniversity College LondonU TuebingenGoogle Deepmind / UCLRepresentation & contrastive learning

Closed-Form Last Layer Optimization

Closed-form last-layer optimization treats final weights as backbone-dependent functions, yielding convergence guarantees and outperforming SGD and Adam on regression tasks.

Alexandre Galashov, Nathaël Da Costa, Liyuan Xu, Philipp Hennig and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
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