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2020 – today
- 2024
[c13]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR 2024: 23773-23782- [c12]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. WACV 2024: 1925-1934 - [i22]Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa:
SaulLM-7B: A pioneering Large Language Model for Law. CoRR abs/2403.03883 (2024) - [i21]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR abs/2404.02285 (2024) - [i20]Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa:
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. CoRR abs/2407.19584 (2024) - [i19]Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf, Sen Wang:
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. CoRR abs/2408.02052 (2024) - 2023
- [j1]Marine Picot
, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2698-2710 (2023) - [c11]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR 2023: 11269-11278 - [c10]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR 2023: 24007-24016 - [c9]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP 2023: 4214-4231 - [c8]Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou:
In Search for a Generalizable Method for Source Free Domain Adaptation. ICML 2023: 2914-2931 - [i18]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - [i17]Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou:
In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR abs/2302.06658 (2023) - [i16]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. CoRR abs/2310.02416 (2023) - [i15]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR abs/2310.13998 (2023) - 2022
- [c7]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CVPR 2022: 8334-8343 - [c6]Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
A Differential Entropy Estimator for Training Neural Networks. ICML 2022: 17691-17715 - [c5]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS 2022 - [i14]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CoRR abs/2201.05718 (2022) - [i13]Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR abs/2202.06618 (2022) - [i12]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic Evaluation of Transductive Few-Shot Learning. CoRR abs/2204.11181 (2022) - [i11]Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR abs/2206.00092 (2022) - [i10]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - [i9]Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed:
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR abs/2208.00287 (2022) - [i8]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR abs/2210.14545 (2022) - [i7]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR abs/2211.14126 (2022) - 2021
- [c4]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [c3]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic evaluation of transductive few-shot learning. NeurIPS 2021: 9290-9302 - [i6]Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness via Fisher-Rao Regularization. CoRR abs/2106.06685 (2021) - [i5]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i4]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
Mutual-Information Based Few-Shot Classification. CoRR abs/2106.12252 (2021) - 2020
- [c2]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c1]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed:
Information Maximization for Few-Shot Learning. NeurIPS 2020 - [i3]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i2]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. CoRR abs/2008.11297 (2020) - [i1]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020)
Coauthor Index
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last updated on 2024-10-07 01:29 CEST by the dblp team
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