Alexis Bellot (DeepMind): A Causal Approach to Transfer Learning in Machine Learning

ML Math Review: Counterintuitive Aspects of High-Dimensional Distributions

Applied Deep Learning 2022 - Lecture 10 - Serving, Optimizing, and Practical Aspects

GRADUATE COURSE Mathematical Aspects of Algorithmic Learning and Deep Neural Networks (Session 3)

L1.6 About the Practical Aspects and Tools Used in This Course

Evan Peters - Generalization despite overfitting in quantum machine learning models

GRADUATE COURSE Mathematical Aspects of Algorithmic Learning and Deep Neural Networks (Session 10)

Symbols and Rules with Deep Learning - Ellie Pavlick | Stanford MLSys #54

Machine Learning vs Deep Learning: AI Explained Simply

Applied Deep Learning 2020 - Lecture 10 - Serving, Optimizing, and Practical Aspects

Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions

GRADUATE COURSE Mathematical Aspects of Algorithmic Learning and Deep Neural Networks (Session 6)

Introduction to Aspects of Machine Learning

Applied Deep Learning 2021 - Lecture 10 - Serving, Optimizing, and Practical Aspects

Probabilistic and Statistical Aspects of Machine Learning (multi-paper Discussion meeting)

Unsupervised Aspect Based Sentiment Analysis at Scale - Ari Bornstein

Test-Time Adaptation: A New Frontier in AI

Mathematical and Computational Aspects of Machine Learning - 7 October 2019

Future aspects in Comput. Mechanics: Machine-Learning Multiscale Material Modeling - Yousef Heider

Deep learning for scientific computing: (closing) the gap between theory and practice by Ben Adcock