| Analysis of the AutoML challenge series I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ... Automated Machine Learning 177, 2019 | 101 | 2019 |
| Bisakha Ray, Mehreen Saeed, Michele Sebag, Alexander Statnikov, Wei-Wei Tu, and Evelyne Viegas. Analysis of the AutoML Challenge Series 2015–2018 I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ... Springer series on Challenges in Machine Learning, 2018 | 25 | 2018 |
| Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Z Liu, A Pavao, Z Xu, S Escalera, F Ferreira, I Guyon, S Hong, F Hutter, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3108-3125, 2021 | 20 | 2021 |
| Towards automated deep learning: Analysis of the autodl challenge series 2019 Z Liu, Z Xu, S Rajaa, M Madadi, JCSJ Junior, S Escalera, A Pavao, ... NeurIPS 2019 Competition and Demonstration Track, 242-252, 2020 | 20 | 2020 |
| Autocv challenge design and baseline results Z Liu, I Guyon, JJ Junior, M Madadi, S Escalera, A Pavao, HJ Escalante, ... CAp 2019-Conférence sur l'Apprentissage Automatique, 2019 | 15 | 2019 |
| Deep statistical solvers B Donon, Z Liu, W Liu, I Guyon, A Marot, M Schoenauer Advances in Neural Information Processing Systems 33, 7910-7921, 2020 | 14 | 2020 |
| AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data R Egele, P Balaprakash, I Guyon, V Vishwanath, F Xia, R Stevens, Z Liu Proceedings of the International Conference for High Performance Computing …, 2021 | 12 | 2021 |
| Leap nets for system identification and application to power systems B Donon, B Donnot, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer Neurocomputing 416, 316-327, 2020 | 12 | 2020 |
| Towards automated computer vision: analysis of the AutoCV challenges 2019 Z Liu, Z Xu, S Escalera, I Guyon, JCSJ Junior, M Madadi, A Pavao, ... Pattern Recognition Letters 135, 196-203, 2020 | 9 | 2020 |
| LEAP nets for power grid perturbations B Donnot, B Donon, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer arXiv preprint arXiv:1908.08314, 2019 | 9 | 2019 |
| Overview and unifying conceptualization of automated machine learning Z Liu, Z Xu, M Madadi, JJ Junior, S Escalera, S Rajaa, I Guyon Proceedings of the Automating Data Science Workshop, Wurzburg, Germany 20, 2019 | 8 | 2019 |
| Autodl challenge design and beta tests-towards automatic deep learning Z Liu, O Bousquet, A Elisseeff, S Escalera, I Guyon, J Jacques, A Pavao, ... MetaLearn workshop@ NeurIPS2018, 2018 | 7 | 2018 |
| Advances in MetaDL: AAAI 2021 challenge and workshop A El Baz, I Guyon, Z Liu, JN van Rijn, S Treguer, J Vanschoren AAAI Workshop on Meta-Learning and MetaDL Challenge, 1-16, 2021 | 6 | 2021 |
| Bisakha Ray, Mehreen Saeed, Michèle Sebag, et al I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ... Analysis of the automl challenge series. Automated Machine Learning, 177, 2019 | 5 | 2019 |
| Asymptotic analysis of meta-learning as a recommendation problem Z Liu, I Guyon AAAI Workshop on Meta-Learning and MetaDL Challenge, 100-114, 2021 | 3 | 2021 |
| Latent surgical interventions in residual neural networks B Donnot, I Guyon, Z Liu, M Schoenauer, A Marot, P Panciatici | 3 | 2018 |
| Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... NeurIPS 2021 Competition and Demonstration Track, 2021 | 2 | 2021 |
| MetaDL challenge design and baseline results A El Baz, I Guyon, Z Liu, JN van Rijn, S Treguer, J Vanschoren AAAI Workshop on Meta-Learning and MetaDL Challenge. PMLR, 1-16, 2021 | 2 | 2021 |
| Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... NeurIPS 2021 Competitions and Demonstrations Track, 80-96, 2022 | 1 | 2022 |
| Automated Deep Learning: Principles and Practice Z Liu Université Paris-Saclay, 2021 | 1 | 2021 |
Sergio EscaleraProf., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA FellowVerified email at maia.ub.es
