The authors reflect on 10 years of OpenML, the open-source platform that turns machine-learning experiments into open, linked, and reusable knowledge. They present the current state of the OpenML ecos...

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. - EpistasisLab/tpot

With in-context learning foundation models like TabPFN excelling on small supervised tabular learning tasks, it has been argued that "boosted trees are not the best default choice when working with...

A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark

Build tabular foundation models and shape how the world works with its most valuable data. Opportunity to work on fundamental breakthroughs such as multimodal, causality and specialized architectures.

The authors reflect on 10 years of OpenML, the open-source platform that turns machine-learning experiments into open, linked, and reusable knowledge. They present the current state of the OpenML ecosystem and its design and assess how community-curated datasets, tasks, and benchmark suites have powered more than 1,500 studies, advanced machine-learning research, and improved reproducibility. Lastly, they share lessons from a decade of building, maintaining, and expanding OpenML to guide the future of open-science infrastructure for machine learning.

This channel features videos about automated machine learning (AutoML) from the AutoML groups at the University of Freiburg, Leibniz University Hannover and University of Tübingen. Common topics inclu...

Scope AutoML has become a cornerstone in the toolkit of many developers and researchers. With the rise of foundation models, AutoML's potential has expanded even further, enabling smarter, more powerf...