| Few-shot segmentation without meta-learning: A good transductive inference is all you need? M Boudiaf, H Kervadec, ZI Masud, P Piantanida, I Ben Ayed, J Dolz Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 201 | 2021 |
| Information maximization for few-shot learning M Boudiaf, I Ziko, J Rony, J Dolz, P Piantanida, I Ben Ayed Advances in Neural Information Processing Systems 33, 2445-2457, 2020 | 184 | 2020 |
| A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses M Boudiaf, J Rony, IM Ziko, E Granger, M Pedersoli, P Piantanida, ... European conference on computer vision, 548-564, 2020 | 175 | 2020 |
| Parameter-free online test-time adaptation M Boudiaf, R Mueller, I Ben Ayed, L Bertinetto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 117 | 2022 |
| A differential entropy estimator for training neural networks G Pichler, PJA Colombo, M Boudiaf, G Koliander, P Piantanida International Conference on Machine Learning, 17691-17715, 2022 | 44 | 2022 |
| Realistic evaluation of transductive few-shot learning O Veilleux, M Boudiaf, P Piantanida, I Ben Ayed Advances in Neural Information Processing Systems 34, 9290-9302, 2021 | 38 | 2021 |
| Adversarial robustness via fisher-rao regularization M Picot, F Messina, M Boudiaf, F Labeau, IB Ayed, P Piantanida IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2698-2710, 2022 | 24 | 2022 |
| A strong baseline for generalized few-shot semantic segmentation S Hajimiri, M Boudiaf, I Ben Ayed, J Dolz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Saullm-7b: A pioneering large language model for law P Colombo, TP Pires, M Boudiaf, D Culver, R Melo, C Corro, AFT Martins, ... arXiv preprint arXiv:2403.03883, 2024 | 14 | 2024 |
| Fhist: A benchmark for few-shot classification of histological images F Shakeri, M Boudiaf, S Mohammadi, I Sheth, M Havaei, IB Ayed, ... arXiv preprint arXiv:2206.00092, 2022 | 14 | 2022 |
| In search for a generalizable method for source free domain adaptation M Boudiaf, T Denton, B Van Merriënboer, V Dumoulin, E Triantafillou International Conference on Machine Learning, 2914-2931, 2023 | 12 | 2023 |
| Open-set likelihood maximization for few-shot learning M Boudiaf, E Bennequin, M Tami, A Toubhans, P Piantanida, C Hudelot, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Towards practical few-shot query sets: transductive minimum description length inference S Martin, M Boudiaf, E Chouzenoux, JC Pesquet, I Ayed Advances in Neural Information Processing Systems 35, 34677-34688, 2022 | 6 | 2022 |
| Transductive learning for textual few-shot classification in API-based embedding models P Colombo, V Pellegrain, M Boudiaf, V Storchan, M Tami, IB Ayed, ... arXiv preprint arXiv:2310.13998, 2023 | 4 | 2023 |
| Transductive Few-Shot Learning: Clustering is All You Need? IM Ziko, M Boudiaf, J Dolz, E Granger, IB Ayed arXiv preprint arXiv:2106.09516, 2021 | 3* | 2021 |
| Model-Agnostic Few-Shot Open-Set Recognition M Boudiaf, E Bennequin, M Tami, C Hudelot, A Toubhans, P Piantanida, ... arXiv preprint arXiv:2206.09236, 2022 | 2 | 2022 |
| LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP Y Huang, F Shakeri, J Dolz, M Boudiaf, H Bahig, I Ben Ayed Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Bag of tricks for fully test-time adaptation S Mounsaveng, F Chiaroni, M Boudiaf, M Pedersoli, I Ben Ayed Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Mutual-information based few-shot classification M Boudiaf, ZI Masud, J Rony, J Dolz, IB Ayed, P Piantanida arXiv preprint arXiv:2106.12252, 2021 | 1 | 2021 |
| Simplex Clustering via with Applications to Online Adjustment of Black-Box Predictions F Chiaroni, M Boudiaf, A Mitiche, IB Ayed IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
Ismail Ben AyedProfessor, ETS MontrealVerified email at etsmtl.ca
