Malik Boudiaf - RankMe

39 papers A* 12A 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Does It Tie Out? Towards Autonomous Legal Agents in Venture Capital. CoRR Pierre Colombo, Malik Boudiaf, Allyn Sweet, Michael Desa, Hongxi Wang, Kevin Candra, Syméon del Marmol
2024	A	`conf`	Bag of Tricks for Fully Test-Time Adaptation. WACV Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2024	J	`jnl`	EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. CoRR Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf, Sen Wang
2024	A*	`conf`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	A*	`conf`	SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. NeurIPS Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Rui Melo, Gabriel Hautreux, Etienne Malaboeuf, Johanne Charpentier, Dominic Culver, Michael Desa
2024	J	`jnl`	SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. CoRR Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa
2024	J	`jnl`	SaulLM-7B: A pioneering Large Language Model for Law. CoRR 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
2024	J	`jnl`	Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. IEEE Trans. Pattern Anal. Mach. Intell. Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
2023	A*	`conf`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
2023	J	`jnl`	Bag of Tricks for Fully Test-Time Adaptation. CoRR Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2023	A*	`conf`	In Search for a Generalizable Method for Source Free Domain Adaptation. ICML Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou
2023	J	`jnl`	In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou
2023	A*	`conf`	Open-Set Likelihood Maximization for Few-Shot Learning. CVPR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
2023	J	`jnl`	Open-Set Likelihood Maximization for Few-Shot Learning. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
2023	A*	`conf`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
2023	J	`jnl`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
2022	A*	`conf`	A Differential Entropy Estimator for Training Neural Networks. ICML Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
2022	J	`jnl`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
2022	J	`jnl`	KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
2022	J	`jnl`	Model-Agnostic Few-Shot Open-Set Recognition. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
2022	A*	`conf`	Parameter-free Online Test-time Adaptation. CVPR Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
2022	J	`jnl`	Parameter-free Online Test-time Adaptation. CoRR Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
2022	J	`jnl`	Realistic Evaluation of Transductive Few-Shot Learning. CoRR Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
2022	J	`jnl`	Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
2022	J	`jnl`	Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	A*	`conf`	Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2021	J	`jnl`	Adversarial Robustness via Fisher-Rao Regularization. CoRR Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
2021	A*	`conf`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2021	J	`jnl`	Mutual-Information Based Few-Shot Classification. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2021	A*	`conf`	Realistic evaluation of transductive few-shot learning. NeurIPS Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
2021	J	`jnl`	Transductive Few-Shot Learning: Clustering is All You Need? CoRR Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020	—	`conf`	A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2020	A*	`conf`	Information Maximization for Few-Shot Learning. NeurIPS Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Metric learning: cross-entropy vs. pairwise losses. CoRR Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Transductive Information Maximization For Few-Shot Learning. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed