Timezone: »
Author Information
Joaquin Vanschoren (Eindhoven University of Technology, OpenML)

Joaquin Vanschoren is Associate Professor in Machine Learning at the Eindhoven University of Technology. He holds a PhD from the Katholieke Universiteit Leuven, Belgium. His research focuses on understanding and automating machine learning, meta-learning, and continual learning. He founded and leads OpenML.org, a popular open science platform with over 250,000 users that facilitates the sharing and reuse of machine learning datasets and models. He is a founding member of the European AI networks ELLIS and CLAIRE, and an active member of MLCommons. He obtained several awards, including an Amazon Research Award, an ECMLPKDD Best Demo award, and the Dutch Data Prize. He was a tutorial speaker at NeurIPS 2018 and AAAI 2021, and gave over 30 invited talks. He co-initiated the NeurIPS Datasets and Benchmarks track and was NeurIPS Datasets and Benchmarks Chair from 2021 to 2023. He also co-organized the AutoML workshop series at ICML, and the Meta-Learning workshop series at NeurIPS. He is editor-in-chief of DMLR (part of JMLR), as well as an action editor for JMLR and machine learning moderator for ArXiv. He authored and co-authored over 150 scientific papers, as well as reference books on Automated Machine Learning and Meta-learning.
More from the Same Authors
-
2021 : OpenML Benchmarking Suites »
Bernd Bischl · Giuseppe Casalicchio · Matthias Feurer · Pieter Gijsbers · Frank Hutter · Michel Lang · Rafael Gomes Mantovani · Jan van Rijn · Joaquin Vanschoren -
2021 : Variational Task Encoders for Model-Agnostic Meta-Learning »
Joaquin Vanschoren -
2021 : Open-Ended Learning Strategies for Learning Complex Locomotion Skills »
Joaquin Vanschoren -
2022 : Fifteen-minute Competition Overview Video »
Dustin Carrión-Ojeda · Ihsan Ullah · Sergio Escalera · Isabelle Guyon · Felix Mohr · Manh Hung Nguyen · Joaquin Vanschoren -
2022 : LOTUS: Learning to learn with Optimal Transport in Unsupervised Scenarios »
prabhant singh · Joaquin Vanschoren -
2023 Poster: DataPerf: Benchmarks for Data-Centric AI Development »
Mark Mazumder · Colby Banbury · Xiaozhe Yao · Bojan Karlaš · William Gaviria Rojas · Sudnya Diamos · Greg Diamos · Lynn He · Alicia Parrish · Hannah Rose Kirk · Jessica Quaye · Charvi Rastogi · Douwe Kiela · David Jurado · David Kanter · Rafael Mosquera · Will Cukierski · Juan Ciro · Lora Aroyo · Bilge Acun · Lingjiao Chen · Mehul Raje · Max Bartolo · Evan Sabri Eyuboglu · Amirata Ghorbani · Emmett Goodman · Addison Howard · Oana Inel · Tariq Kane · Christine R. Kirkpatrick · D. Sculley · Tzu-Sheng Kuo · Jonas Mueller · Tristan Thrush · Joaquin Vanschoren · Margaret Warren · Adina Williams · Serena Yeung · Newsha Ardalani · Praveen Paritosh · Ce Zhang · James Zou · Carole-Jean Wu · Cody Coleman · Andrew Ng · Peter Mattson · Vijay Janapa Reddi -
2022 : Towards better benchmarks for AutoML, meta-learning and continual learning in computer vision »
Joaquin Vanschoren -
2022 Competition: Cross-Domain MetaDL: Any-Way Any-Shot Learning Competition with Novel Datasets from Practical Domains »
Dustin Carrión-Ojeda · Ihsan Ullah · Sergio Escalera · Isabelle Guyon · Felix Mohr · Manh Hung Nguyen · Joaquin Vanschoren -
2022 Workshop: NeurIPS 2022 Workshop on Meta-Learning »
Huaxiu Yao · Eleni Triantafillou · Fabio Ferreira · Joaquin Vanschoren · Qi Lei -
2022 Poster: Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification »
Ihsan Ullah · Dustin Carrión-Ojeda · Sergio Escalera · Isabelle Guyon · Mike Huisman · Felix Mohr · Jan N. van Rijn · Haozhe Sun · Joaquin Vanschoren · Phan Anh Vu -
2021 Workshop: Data Centric AI »
Andrew Ng · Lora Aroyo · Greg Diamos · Cody Coleman · Vijay Janapa Reddi · Joaquin Vanschoren · Carole-Jean Wu · Sharon Zhou · Lynn He -
2021 Workshop: 5th Workshop on Meta-Learning »
Erin Grant · Fábio Ferreira · Frank Hutter · Jonathan Richard Schwarz · Joaquin Vanschoren · Huaxiu Yao -
2021 Datasets and Benchmarks: Dataset and Benchmark Poster Session 4 »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Track 3 »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Symposium »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Poster Session 3 »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Track 2 »
Joaquin Vanschoren · Serena Yeung -
2021 Panel: The Role of Benchmarks in the Scientific Progress of Machine Learning »
Lora Aroyo · Samuel Bowman · Isabelle Guyon · Joaquin Vanschoren -
2021 : MetaDL: Few Shot Learning Competition with Novel Datasets from Practical Domains + Q&A »
Adrian El Baz · Isabelle Guyon · Zhengying Liu · Jan N. Van Rijn · Haozhe Sun · Sébastien Treguer · Wei-Wei Tu · Ihsan Ullah · Joaquin Vanschoren · Phan Ahn Vu -
2021 Datasets and Benchmarks: Dataset and Benchmark Poster Session 2 »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Poster Session 1 »
Joaquin Vanschoren · Serena Yeung -
2021 Datasets and Benchmarks: Dataset and Benchmark Track 1 »
Joaquin Vanschoren · Serena Yeung -
2020 Workshop: Meta-Learning »
Jane Wang · Joaquin Vanschoren · Erin Grant · Jonathan Richard Schwarz · Francesco Visin · Jeff Clune · Roberto Calandra -
2019 Workshop: Meta-Learning »
Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang -
2018 Workshop: NIPS 2018 Workshop on Meta-Learning »
Joaquin Vanschoren · Frank Hutter · Sachin Ravi · Jane Wang · Erin Grant -
2018 Tutorial: Automatic Machine Learning »
Frank Hutter · Joaquin Vanschoren -
2016 : OpenML in research and education »
Joaquin Vanschoren