| Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition E Triantafillou, P Kairouz, F Pedregosa, J Hayes, M Kurmanji, K Zhao, ... arXiv preprint arXiv:2406.09073, 2024 | | 2024 |
| AI Competitions and Benchmarks: Dataset Development R Egele, J Junior, CS Jacques, JN van Rijn, I Guyon, X Baró, A Clapés, ... arXiv preprint arXiv:2404.09703, 2024 | | 2024 |
| Challenge design roadmap HJE Balderas, I Guyon, A Howard, W Reade, S Treguer arXiv preprint arXiv:2401.13693, 2024 | | 2024 |
| Unified physical-digital attack detection challenge H Yuan, A Liu, J Zheng, J Wan, J Deng, S Escalera, HJ Escalante, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Challenge design roadmap H Jair Escalante Balderas, I Guyon, A Howard, W Reade, S Treguer arXiv e-prints, arXiv: 2401.13693, 2024 | | 2024 |
| The tracking machine learning challenge: throughput phase S Amrouche, L Basara, P Calafiura, D Emeliyanov, V Estrade, S Farrell, ... Computing and Software for Big Science 7 (1), 1, 2023 | 26 | 2023 |
| DMLR: Data-centric Machine Learning Research--Past, Present and Future L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ... arXiv preprint arXiv:2311.13028, 2023 | 7 | 2023 |
| Asynchronous decentralized bayesian optimization for large scale hyperparameter optimization R Egelé, I Guyon, V Vishwanath, P Balaprakash 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | 4 | 2023 |
| HHD-Ethiopic A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance BH Belay, I Guyon, T Mengiste, B Tilahun, M Liwicki, T Tegegne, R Egele | | 2023 |
| NeurIPS’22 cross-domain MetaDL challenge: Results and lessons learned D Carrión-Ojeda, M Alam, S Escalera, A Farahat, D Ghosh, TG Diaz, ... NeurIPS 2022 Competition Track, 50-72, 2023 | 2 | 2023 |
| Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? R Egele, I Guyon, Y Sun, P Balaprakash arXiv preprint arXiv:2307.15422, 2023 | 3 | 2023 |
| Modularity in deep learning: A survey H Sun, I Guyon Science and Information Conference, 561-595, 2023 | 5 | 2023 |
| RRR-Net: Reusing, reducing, and recycling a deep backbone network H Sun, I Guyon, F Mohr, H Tabia 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 4 | 2023 |
| AI Competitions and Benchmarks The Science Behind the Contests A Pavao, I Guyon, E Viegas | | 2023 |
| Codalab competitions: An open source platform to organize scientific challenges A Pavao, I Guyon, AC Letournel, DT Tran, X Baro, HJ Escalante, ... Journal of Machine Learning Research 24 (198), 1-6, 2023 | 135 | 2023 |
| NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results D Carrión-Ojeda, H Chen, A El Baz, S Escalera, C Guan, I Guyon, I Ullah, ... ECMLPKDD Workshop on Meta-Knowledge Transfer, 24-37, 2022 | 4 | 2022 |
| Meta-album: Multi-domain meta-dataset for few-shot image classification I Ullah, D Carrión-Ojeda, S Escalera, I Guyon, M Huisman, F Mohr, ... Advances in Neural Information Processing Systems 35, 3232-3247, 2022 | 26 | 2022 |
| Filtering participants improves generalization in competitions and benchmarks A Pavao, Z Liu, I Guyon ESANN 2022-European Symposium on Artificial Neural Networks, 2022 | 2 | 2022 |
| Autodeuq: Automated deep ensemble with uncertainty quantification R Egele, R Maulik, K Raghavan, B Lusch, I Guyon, P Balaprakash 2022 26th International Conference on Pattern Recognition (ICPR), 1908-1914, 2022 | 45 | 2022 |
| Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round MH Nguyen, L Sun, N Grinsztajn, I Guyon arXiv preprint arXiv:2208.02821, 2022 | 3 | 2022 |