A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (ECCV (6), 2020)

Information Maximization for Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2020)

Metric learning: cross-entropy vs. pairwise losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Transductive Information Maximization For Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; José Dolz; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? - Malik Boudiaf; Hoel Kervadec; Imtiaz Masud Ziko; Pablo Piantanida; Ismail Ben Ayed; Jose Dolz (CVPR, 2021)

Realistic evaluation of transductive few-shot learning. - Olivier Veilleux; Malik Boudiaf; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2021)

Transductive Few-Shot Learning: Clustering is All You Need? - Imtiaz Masud Ziko; Malik Boudiaf; Jose Dolz; Eric Granger; Ismail Ben Ayed (CoRR, 2021)

Mutual-Information Based Few-Shot Classification. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (CoRR, 2021)

Parameter-free Online Test-time Adaptation. - Malik Boudiaf; Romain Müller; Ismail Ben Ayed; Luca Bertinetto (CVPR, 2022)

A Differential Entropy Estimator for Training Neural Networks. - Georg Pichler; Pierre Jean A. Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (ICML, 2022)

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. - Ségolène Martin; Malik Boudiaf; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (NeurIPS, 2022)

KNIFE: Kernelized-Neural Differential Entropy Estimation. - Georg Pichler; Pierre Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (CoRR, 2022)

FHIST: A Benchmark for Few-shot Classification of Histological Images. - Fereshteh Shakeri; Malik Boudiaf; Sina Mohammadi; Ivaxi Sheth; Mohammad Havaei; Ismail Ben Ayed; Samira Ebrahimi Kahou (CoRR, 2022)

Model-Agnostic Few-Shot Open-Set Recognition. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Céline Hudelot; Antoine Toubhans; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2022)

Open-Set Likelihood Maximization for Few-Shot Learning. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Antoine Toubhans; Pablo Piantanida; Céline Hudelot; Ismail Ben Ayed (CVPR, 2023)

A Strong Baseline for Generalized Few-Shot Semantic Segmentation. - Sina Hajimiri; Malik Boudiaf; Ismail Ben Ayed; Jose Dolz (CVPR, 2023)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Myriam Tami; Victor Storchan; Ismail Ben Ayed; Pablo Piantanida (EMNLP, 2023)

In Search for a Generalizable Method for Source Free Domain Adaptation. - Malik Boudiaf; Tom Denton; Bart van Merrienboer; Vincent Dumoulin; Eleni Triantafillou (ICML, 2023)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Victor Storchan; Myriam Tami; Ismail Ben Ayed; Céline Hudelot; Pablo Piantanida (CoRR, 2023)

Adversarial Robustness Via Fisher-Rao Regularization. - Marine Picot; Francisco Messina; Malik Boudiaf; Fabrice Labeau; Ismail Ben Ayed; Pablo Piantanida (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. - Yunshi Huang; Fereshteh Shakeri; Jose Dolz; Malik Boudiaf; Houda Bahig; Ismail Ben Ayed (CVPR, 2024)

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. - Pierre Colombo; Telmo Pessoa Pires; Malik Boudiaf; Rui Melo; Gabriel Hautreux; Etienne Malaboeuf; Johanne Charpentier; Dominic Culver; Michael Desa (NeurIPS, 2024)

Bag of Tricks for Fully Test-Time Adaptation. - Saypraseuth Mounsaveng; Florent Chiaroni; Malik Boudiaf; Marco Pedersoli; Ismail Ben Ayed (WACV, 2024)

SaulLM-7B: A pioneering Large Language Model for Law. - 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 (CoRR, 2024)

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. - Pierre Colombo; Telmo Pires; Malik Boudiaf; Rui Melo; Dominic Culver; Sofia Morgado; Etienne Malaboeuf; Gabriel Hautreux; Johanne Charpentier; Michael Desa (CoRR, 2024)

EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. - Mateusz Ochal; Massimiliano Patacchiola; Malik Boudiaf; Sen Wang 002 (CoRR, 2024)

Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. - Florent Chiaroni; Malik Boudiaf; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Pattern Anal. Mach. Intell., 2024)