| 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 | 124 | 2020 |
| 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 | 122 | 2021 |
| 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, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 101 | 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 | 25 | 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 | 17 | 2021 |
| 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 | 11 | 2022 |
| 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, 2022 | 10 | 2022 |
| In Search for a Generalizable Method for Source Free Domain Adaptation M Boudiaf, T Denton, B van Merriënboer, V Dumoulin, E Triantafillou arXiv preprint arXiv:2302.06658, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| KNIFE: Kernelized-Neural Differential Entropy Estimation G Pichler, P Colombo, M Boudiaf, G Koliander, P Piantanida arXiv preprint arXiv:2202.06618, 2022 | 1 | 2022 |
| 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 |
| NOTELA: A Generalizable Method for Source Free Domain Adaptation M Boudiaf, B van Merrienboer, V Dumoulin, E Triantafillou | | 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 | | 2023 |
| 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 | | 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 | | 2022 |
| Simplex Clustering via sBeta with Applications to Online Adjustments of Black-Box Predictions F Chiaroni, M Boudiaf, A Mitiche, IB Ayed arXiv preprint arXiv:2208.00287, 2022 | | 2022 |
| 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 | | 2022 |
| 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 | | 2021 |
| Realistic Evaluation of Transductive Few-Shot Learning-Supplementary Material O Veilleux, M Boudiaf, P Piantanida, IB Ayed | | |
Ismail Ben AyedProfessor, ETS MontrealVerified email at etsmtl.ca
