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authFullName_s : Adrien Pavao
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CodaLab Competitions: An open source platform to organize scientific challenges

Adrien Pavao , Isabelle Guyon , Anne-Catherine Letournel , Xavier Baró , Hugo Escalante , et al.
[Technical Report] Université Paris-Saclay, FRA. 2022
Reports hal-03629462v1
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Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019

Zhengying Liu , Zhen Xu , Shangeth Rajaa , Meysam Madadi , Julio C S Jacques , et al.
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Competition and Demonstration Track, Dec 2020, Vancouver / Virtuel, United States. pp.242-252
Conference papers hal-03159795v1
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Aircraft Numerical "Twin": A Time Series Regression Competition

Adrien Pavao , Isabelle Guyon , Nachar Stéphane , Fabrice Lebeau , Martin Ghienne , et al.
ICMLA 2021 - 20th IEEE International Conference on Machine Learning and Applications., Dec 2021, Pasadena / Virtual, United States. ⟨10.1109/ICMLA52953.2021.00075⟩
Conference papers hal-03463307v3
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Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019

Zhengying Liu , Adrien Pavao , Zhen Xu , Sergio Escalera , Fabio Ferreira , et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, ⟨10.1109/TPAMI.2021.3075372⟩
Journal articles hal-02957135v5
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Towards Automated Computer Vision: Analysis of the AutoCV Challenges 2019

Zhengying Liu , Zhen Xu , Sergio Escalera , Isabelle Guyon , Julio C S Jacques Junior , et al.
Pattern Recognition Letters, 2020, 135, pp.196-203
Journal articles hal-02386805v1
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Codabench: Flexible, Easy-to-Use and Reproducible Meta-Benchmark Platform

Zhen Xu , Sergio Escalera , Adrien Pavao , Magali Richard , Wei-Wei Tu , et al.
Patterns, 2022
Journal articles hal-03374222v4

Generation and evaluation of privacy preserving synthetic health data

Andrew Yale , Saloni Dash , Ritik Dutta , Isabelle Guyon , Adrien Pavao , et al.
Journal articles hal-02547029v1
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AutoCV Challenge Design and Baseline Results

Zhengying Liu , Isabelle Guyon , Julio Jacques Junior , Meysam Madadi , Sergio Escalera , et al.
CAp 2019 - Conférence sur l'Apprentissage Automatique, Jul 2019, Toulouse, France
Conference papers hal-02265053v1
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Privacy Preserving Synthetic Health Data

Andrew Yale , Saloni Dash , Ritik Dutta , Isabelle Guyon , Adrien Pavao , et al.
ESANN 2019 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2019, Bruges, Belgium
Conference papers hal-02160496v1
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Generation and Evaluation of Privacy Preserving Synthetic Health Data

Andrew Yale , Saloni Dash , Ritik Dutta , Isabelle Guyon , Adrien Pavao , et al.
Neurocomputing, 2020, 416, pp.244-255. ⟨10.1016/j.neucom.2019.12.136⟩
Journal articles hal-03158544v1
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Design and Analysis of Experiments: A Challenge Approach in Teaching

Adrien Pavao , Diviyan Kalainathan , Lisheng Sun-Hosoya , Kristen Bennett , Isabelle Guyon
NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Conference papers hal-02415639v1
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Filtering participants improves generalization in competitions and benchmarks

Adrien Pavao , Zhengying Liu , Isabelle Guyon
ESANN 2022 - European Symposium on Artificial Neural Networks, Oct 2022, Bruges, Belgium
Conference papers hal-03869648v1
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Judging competitions and benchmarks: a candidate election approach

Adrien Pavao , Michael Vaccaro , Isabelle Guyon
ESANN 2021 - 29th European Symposium on Artificial Neural Networks, Oct 2021, Bruges/Virtual, Belgium
Conference papers hal-03367857v3
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AutoDL Challenge Design and Beta Tests-Towards automatic deep learning

Zhengying Liu , Olivier Bousquet , André Elisseeff , Sergio Escalera , Isabelle Guyon , et al.
MetaLearn workshop @ NeurIPS2018, Dec 2018, Montreal, Canada
Conference papers hal-01906226v1