GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)
29:36
Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)
20:18
Why Does Diffusion Work Better than Auto-Regression?
54:45
Geoffrey Hinton – Capsule Networks
39:13
DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)
1:24:01
Paper Review - GLOM: How to Represent Part-Whole Hierarchies in a Neural Network by Geoffrey Hinton
58:37
Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)
59:33
LambdaNetworks: Modeling long-range Interactions without Attention (Paper Explained)
34:02