How Transformers Learn Causal Structure with Gradient Descent
39:20
Pseudo-Labeling for Covariate Shift Adaptation
20:33
Gradient descent, how neural networks learn | DL2
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
1:09:38
Modern paradigms of generalization, the heliocentric model of Aristarchus,...
53:31
Charlie Snell, UC Berkeley. Title: Scaling LLM Test-Time Compute
48:04
When reinforcement learning meets quantum computing
1:35:18
VASP Workshop at NERSC: Basics: DFT, plane waves, PAW method, electronic minimization, Part 1
27:14