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CodaLab Competitions: An open source platform to organize scientific challenges[Technical Report] Université Paris-Saclay, FRA. 2022
Reports
hal-03629462v1
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Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019NeurIPS 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 CompetitionICMLA 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 2019IEEE 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 2019Pattern Recognition Letters, 2020, 135, pp.196-203
Journal articles
hal-02386805v1
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Codabench: Flexible, Easy-to-Use and Reproducible Meta-Benchmark PlatformPatterns, 2022
Journal articles
hal-03374222v4
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Generation and evaluation of privacy preserving synthetic health dataNeurocomputing, 2020, ⟨10.1016/j.neucom.2019.12.136⟩
Journal articles
hal-02547029v1
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AutoCV Challenge Design and Baseline ResultsCAp 2019 - Conférence sur l'Apprentissage Automatique, Jul 2019, Toulouse, France
Conference papers
hal-02265053v1
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Privacy Preserving Synthetic Health DataESANN 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 DataNeurocomputing, 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 TeachingNeurIPS 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 benchmarksESANN 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 approachESANN 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 learningMetaLearn workshop @ NeurIPS2018, Dec 2018, Montreal, Canada
Conference papers
hal-01906226v1
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