Видео ютуба по тегу Deep Learning Theory Workshop And Summer School

Deep Learning in Structural Biology and Protein Design: How, Where, and Why

When is Scale Enough?

Universality of Approximate Message Passing on Semi-random Matrices

A Theoretical Framework of Convolutional Kernels on Image Datasets

Tutorial: Methods from Statistical Physics III

A New Perspective on High-Dimensional Causal Inference

Distribution Shift as Underspecification, and What We Might Do About It

Tutorial: Methods from Statistical Physics II

Tutorial: Methods from Statistical Physics I

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting

The Devil is in the Tails and Other Stories of Interpolation

Tutorial: Implicit Bias II

Tutorial: Implicit Bias I

Feature Selection with Gradient Descent on Two-layer Networks in Low-rotation Regimes

Understanding the Robustness of Deep Learning

Tutorial: Statistical Learning Theory and Neural Networks II

Tutorial: Statistical Learning Theory and Neural Networks I

AIBM-2021 [ International Conference, Summer School and Workshop ]

Progress towards understanding generalization in Deep Learning | Gintarė Karolina Džiugaitė

Princeton ORFE Deep Learning Theory Summer School -- Day 5