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Strategies for Active Machine Learning
Stanford Research Talks
18 ต.ค. 2020
การดู 10,256 ครั้ง
Competitive Control via Online Optimization
Active Learning: Why Smart Labeling is the Future of Data Annotation | Alectio
An Introduction to Graph Neural Networks: Models and Applications
Learning-Based Data Compression: Fundamental limits and Algorithms - Shirin Saeedi Bidokhti
Jeff Dean (Google): Exciting Trends in Machine Learning
What is Active Learning? Machine Learning Expert Shares
Intro to graph neural networks (ML Tech Talks)
Toward a Grand Unified Theory of Accelerations in Optimization and Machine Learning
Baby Learning Videos | Babies and Toddlers Learn Colors, First Words, Shapes, ABC | Lucas & Friends
Lecture 26: Active Learning for Network Training: Uncertainty Sampling and other approaches.
Active Teaching and Learning Strategies
Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning
Jan Freyberg: Active learning in the interactive python environment | PyData London 2019
Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein
Active Learning | Tutorial on Active Learning: From Theory to Practice - Part 1 | ICML
Active Learning - Machine Learning
VCT: A Video Compression Transformer: George Toederici
Stanford CS330 Deep Multi-Task & Meta Learning - What is multi-task learning? I 2022 I Lecture 1
Active Learning | Tutorial on Active Learning from Theory to Practice | ICML
Theory and Systems for Weak Supervision (WWW 2020 BIG)