Papers2

#Meta-learning

Nested Learning: The Illusion of Deep Learning Architectures

Ali Behrouz, Meisam Razaviyayn et al.Dec 31arXiv

The paper introduces Nested Learning, a new way to build AI that learns in layers (like Russian dolls), so each part can update at its own speed and remember different things.

#Nested Learning#Associative Memory#In-Context Learning

Not triaged yet

End-to-End Test-Time Training for Long Context

Intermediate

Arnuv Tandon, Karan Dalal et al.Dec 29arXiv

This paper shows how a language model can keep learning while you use it, so it handles very long inputs without slowing down.

#Test-Time Training#Meta-learning#Long-context language modeling

Not triaged yet