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Author Information
Hugo Jair Escalante (INAOE)
Isabelle Guyon (U. Paris-Saclay & ChaLearn)
Isabelle Guyon recently joined Google Brain as a research scientist. She is also professor of artificial intelligence at Université Paris-Saclay (Orsay). Her areas of expertise include computer vision, bioinformatics, and power systems. She is best known for being a co-inventor of Support Vector Machines. Her recent interests are in automated machine learning, meta-learning, and data-centric AI. She has been a strong promoter of challenges and benchmarks, and is president of ChaLearn, a non-profit dedicated to organizing machine learning challenges. She is community lead of Codalab competitions, a challenge platform used both in academia and industry. She co-organized the “Challenges in Machine Learning Workshop” @ NeurIPS between 2014 and 2019, launched the "NeurIPS challenge track" in 2017 while she was general chair, and pushed the creation of the "NeurIPS datasets and benchmark track" in 2021, as a NeurIPS board member.
Daniel Silver (Acadia University)
Evelyne Viegas (Microsoft Research)
Wei-Wei Tu (4Paradigm Inc.)
More from the Same Authors
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2022 Poster: Online Frank-Wolfe with Arbitrary Delays »
Yuanyu Wan · Wei-Wei Tu · Lijun Zhang -
2022 : Fifteen-minute Competition Overview Video »
Dustin Carrión-Ojeda · Ihsan Ullah · Sergio Escalera · Isabelle Guyon · Felix Mohr · Manh Hung Nguyen · Joaquin Vanschoren -
2022 : Sequential Models for Automatic Personality Recognition from Multimodal Information in Social Interactions »
Jeanfed Ramírez · Hugo Jair Escalante · Luis Villaseñor-Pineda -
2022 Spotlight: Online Frank-Wolfe with Arbitrary Delays »
Yuanyu Wan · Wei-Wei Tu · Lijun Zhang -
2022 Spotlight: Lightning Talks 4A-1 »
Jiawei Huang · Su Jia · Abdurakhmon Sadiev · Ruomin Huang · Yuanyu Wan · Denizalp Goktas · Jiechao Guan · Andrew Li · Wei-Wei Tu · Li Zhao · Amy Greenwald · Jiawei Huang · Dmitry Kovalev · Yong Liu · Wenjie Liu · Peter Richtarik · Lijun Zhang · Zhiwu Lu · R Ravi · Tao Qin · Wei Chen · Hu Ding · Nan Jiang · Tie-Yan Liu -
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 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 -
2022 : Isabelle Guyon »
Isabelle Guyon -
2022 Invited Talk: The Data-Centric Era: How ML is Becoming an Experimental Science »
Isabelle Guyon -
2022 : NeurIPS Competitions – Evolution and Opportunities »
Isabelle Guyon · Evelyne Viegas -
2021 Panel: The Role of Benchmarks in the Scientific Progress of Machine Learning »
Lora Aroyo · Samuel Bowman · Isabelle Guyon · Joaquin Vanschoren -
2020 Workshop: Competition Track Saturday »
Hugo Jair Escalante · Katja Hofmann -
2020 Workshop: Competition Track Friday »
Hugo Jair Escalante · Katja Hofmann -
2020 : Opening - Competition Track Session »
Katja Hofmann · Hugo Jair Escalante -
2020 : Keynote talk by Isabelle Guyon and Evelyne Viegas - "AI Competitions and the Science Behind Contests" »
Isabelle Guyon · Evelyne Viegas -
2020 Poster: Deep Statistical Solvers »
Balthazar Donon · Zhengying Liu · Wenzhuo LIU · Isabelle Guyon · Antoine Marot · Marc Schoenauer -
2019 Workshop: Competition Track Day 2 »
Hugo Jair Escalante -
2019 : Open Space Topic “The Organization of Challenges for the Benefit of More Diverse Communities” »
Adrienne Mendrik · Isabelle Guyon · Wei-Wei Tu · Evelyne Viegas · Ming LI -
2019 Workshop: CiML 2019: Machine Learning Competitions for All »
Adrienne Mendrik · Wei-Wei Tu · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2019 : Welcome and Opening Remarks »
Adrienne Mendrik · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2019 Workshop: Competition Track Day 1 »
Hugo Jair Escalante -
2019 : Opening session - Competition track »
Hugo Jair Escalante · Raia Hadsell -
2018 : Afternoon Welcome - Isabelle Guyon and Evelyne Viegas »
Isabelle Guyon -
2018 : AutoDL challenge design and beta tests »
Daniel Silver -
2018 Workshop: CiML 2018 - Machine Learning competitions "in the wild": Playing in the real world or in real time »
Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy -
2018 : Morning Welcome - - Isabelle Guyon and Evelyne Viegas »
Evelyne Viegas -
2018 : Datasets and Benchmarks for Causal Learning »
Csaba Szepesvari · Isabelle Guyon · Nicolai Meinshausen · David Blei · Elias Bareinboim · Bernhard Schölkopf · Pietro Perona -
2018 : Evaluating Causation Coefficients »
Isabelle Guyon -
2017 Workshop: Machine Learning Challenges as a Research Tool »
Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy -
2017 : Introduction - Isabelle Guyon and Evelyne Viegas »
Isabelle Guyon -
2016 Workshop: Machine Learning for Spatiotemporal Forecasting »
Florin Popescu · Sergio Escalera · Xavier Baró · Stephane Ayache · Isabelle Guyon -
2016 : Gaming challenges and encouraging collaborations »
Sergio Escalera · Isabelle Guyon -
2016 Workshop: Challenges in Machine Learning: Gaming and Education »
Isabelle Guyon · Evelyne Viegas · Balázs Kégl · Ben Hamner · Sergio Escalera -
2016 : Welcome »
Evelyne Viegas -
2016 Demonstration: Biometric applications of CNNs: get a job at "Impending Technologies"! »
Sergio Escalera · Isabelle Guyon · Baiyu Chen · Marc Quintana · Umut Güçlü · Yağmur Güçlütürk · Xavier Baró · Rob van Lier · Carlos Andujar · Marcel A. J. van Gerven · Bernhard E Boser · Luke Wang -
2016 Demonstration: Project Malmo - Minecraft for AI Research »
Katja Hofmann · Matthew A Johnson · Fernando Diaz · Alekh Agarwal · Tim Hutton · David Bignell · Evelyne Viegas -
2015 : Discussion Panel with Morning Speakers (Day 2) »
Giovanni S Carmantini · Gustav Sourek · Artur Garcez · Daniel Silver · Michael J Witbrock -
2015 : Lifelong Machine Learning and Reasoning »
Daniel Silver -
2015 Workshop: Challenges in Machine Learning (CiML 2015): "Open Innovation" and "Coopetitions" »
Isabelle Guyon · Evelyne Viegas · Ben Hamner · Balázs Kégl -
2015 Demonstration: CodaLab Worksheets for Reproducible, Executable Papers »
Percy Liang · Evelyne Viegas -
2014 Workshop: High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML) »
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen -
2014 Workshop: Challenges in Machine Learning workshop (CiML 2014) »
Isabelle Guyon · Evelyne Viegas · Percy Liang · Olga Russakovsky · Rinat Sergeev · Gábor Melis · Michele Sebag · Gustavo Stolovitzky · Jaume Bacardit · Michael S Kim · Ben Hamner -
2013 Workshop: NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms »
Isabelle Guyon · Leon Bottou · Bernhard Schölkopf · Alexander Statnikov · Evelyne Viegas · james m robins -
2012 Demonstration: Gesture recognition with Kinect »
Isabelle Guyon -
2009 Workshop: Clustering: Science or art? Towards principled approaches »
Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh -
2009 Mini Symposium: Causality and Time Series Analysis »
Florin Popescu · Isabelle Guyon · Guido Nolte -
2009 Demonstration: Causality Workbench »
Isabelle Guyon -
2008 Workshop: Causality: objectives and assessment »
Isabelle Guyon · Dominik Janzing · Bernhard Schölkopf -
2007 Demonstration: CLOP: a Matlab Learning Object Package »
Amir Reza Saffari Azar Alamdari · Isabelle Guyon · Hugo Jair Escalante · Gökhan H Bakir · Gavin Cawley -
2006 Workshop: Multi-level Inference Workshop and Model Selection Game »
Isabelle Guyon