Malik Boudiaf

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Transductive Inference

Minimum Description Length

Semi Supervised

Top Venues

Publications

Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. WACV (2024)
Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR (2024)
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 (2024)
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 (2024)
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR (2023)
Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. ICML (2023)
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)
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) (2023)
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. CoRR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR (2023)
Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR (2023)
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)
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 (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
Model-Agnostic Few-Shot Open-Set Recognition. CoRR (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS (2022)
Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR (2022)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic Evaluation of Transductive Few-Shot Learning. CoRR (2022)
Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
Parameter-free Online Test-time Adaptation. CVPR (2022)
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 (2022)
Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
A Differential Entropy Estimator for Training Neural Networks. ICML (2022)
Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR (2022)
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR (2022)
Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
Parameter-free Online Test-time Adaptation. CoRR (2022)
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)
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
Adversarial Robustness via Fisher-Rao Regularization. CoRR (2021)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
Mutual-Information Based Few-Shot Classification. CoRR (2021)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic evaluation of transductive few-shot learning. NeurIPS (2021)
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
Transductive Few-Shot Learning: Clustering is All You Need? CoRR (2021)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
Transductive Information Maximization For Few-Shot Learning. CoRR (2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
Metric learning: cross-entropy vs. pairwise losses. CoRR (2020)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
Information Maximization for Few-Shot Learning. NeurIPS (2020)
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 (2020)
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)