BayLearn 2023: Oral Presentations—Session 1

BayLearn 2023: Chris Re

BayLearn 2023: Percy Liang

Think Fast, Talk Smart: Communication Techniques

11. Introduction to Machine Learning

Atila Abdulkadiroglu: School Assignment By Match Quality

BayLearn 2023: Fei Fei Li

Tokenization for NLP is Hard [ LingMon #213 ]

BayLearn 2023: Niloufar Salehi

EASE Fall School 2022- Axel Ngonga

Life After Apache Spark: Why and How We’re Building the Daft Query Engine (SF Systems Meetup)

1. Artificial Intelligence and Machine Learning

Simon Meierhans: Almost-Linear Time Algorithms for Partially Dynamic Graphs

BayLearn2024—02 Keynote1 Haghtalab

DSC100 Lecture 11

"Controlled Rearing of Language Models can Reveal Linguistic Insight" - Kanishka Misra

Robert Huang: “Learning Quantum States and Hamiltonians” Part 2

Machine Learning for Everybody – Full Course

Warsaw.AI - Episode XXIV, 10.10.2024

BayLearn2024—07 Keynote2 Anguelov

Snakemake and Notebook integration for the "last mile" data analysis (Johannes Köster)