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