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Malik Boudiaf
Malik Boudiaf
ETS Montreal
Zweryfikowany adres z etsmtl.net
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1892021
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
1682020
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
158*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
942022
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
442022
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
302021
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
222022
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
122022
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
112023
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
72023
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
42023
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
32022
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
2*2021
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
12024
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
12024
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
12023
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
12022
Mutual-information based few-shot classification
M Boudiaf, ZI Masud, J Rony, J Dolz, IB Ayed, P Piantanida
arXiv preprint arXiv:2106.12252, 2021
12021
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
Y Huang, F Shakeri, J Dolz, M Boudiaf, H Bahig, IB Ayed
arXiv preprint arXiv:2404.02285, 2024
2024
Transductive few-shot learning
M Boudiaf
École de technologie supérieure, 2023
2023
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