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Self-Distillation Enables Continual Learning

Intermediate

Idan Shenfeld, Mehul Damani et al.Jan 27arXiv

This paper shows a simple way for AI models to keep learning new things without forgetting what they already know.

#Self-Distillation Fine-Tuning#On-Policy Distillation#Continual Learning

Nested Learning: The Illusion of Deep Learning Architectures

Intermediate

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

An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges

Intermediate

Chao Xu, Suyu Zhang et al.Dec 12arXiv

Vision-Language-Action (VLA) models are robots’ “see–think–do” brains that connect cameras (vision), words (language), and motors (action).

#Vision-Language-Action#Embodied AI#Multimodal Alignment

Papers3

Self-Distillation Enables Continual Learning

Nested Learning: The Illusion of Deep Learning Architectures

An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges