Geomstats: a Python package for Riemannian geometry in machine learning N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ... Journal of Machine Learning Research 21 (223), 1-9, 2020 | 87 | 2020 |
Introduction to geometric learning in python with geomstats N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ... SciPy 2020-19th Python in Science Conference, 48-57, 2020 | 12 | 2020 |
Cosplade: Contextualizing SPLADE for conversational information retrieval N Hai Le, T Gerald, T Formal, JY Nie, B Piwowarski, L Soulier European Conference on Information Retrieval, 537-552, 2023 | 10 | 2023 |
Continual Learning of Long Topic Sequences in Neural Information Retrieval T Gerald, L Soulier European Conference on Information Retrieval, 244-259, 2022 | 4 | 2022 |
From node embedding to community embedding: A hyperbolic approach T Gerald, H Zaatiti, H Hajri, N Baskiotis, O Schwander arXiv preprint arXiv:1907.01662, 2019 | 4 | 2019 |
Binary stochastic representations for large multi-class classification T Gerald, N Baskiotis, L Denoyer Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 3 | 2017 |
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs H Djeddal, T Gerald, L Soulier, K Pinel-Sauvagnat, L Tamine European Conference on Information Retrieval, 93-101, 2022 | 2 | 2022 |
A hyperbolic approach for learning communities on graphs T Gerald, H Zaatiti, H Hajri, N Baskiotis, O Schwander Data Mining and Knowledge Discovery 37 (3), 1090-1124, 2023 | 1 | 2023 |
A new approach to generate teacher-like questions guided by text spans extraction T Gerald, S Ettayeb, L Tamames, HQ Le, P Paroubek, A Vilnat 10th Language & Technology Conference: Human Language Technologies as a …, 2023 | 1 | 2023 |
Sélectionner les" bons" passages pour créer les" bonnes" questions: Analyse et Évaluation d'un nouveau Corpus de Questions et Réponses pour l'Éducation T Gerald, S Ettayeb, HQ Le, G Illouz, P Paroubek, A Vilnat Extraction et Gestion des Connaissances, 67-78, 2023 | 1 | 2023 |
Representation Learning for Large Scale Classification T Gerald Sorbonne université, 2020 | 1 | 2020 |
Joint Label/Example Hyperbolic Representation for Extreme Classification T Gerald, N Baskiotis Conférence sur l’Apprentissage automatique 2019, 2019 | 1 | 2019 |
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification P Lepagnol, T Gerald, S Ghannay, C Servan, S Rosset arXiv preprint arXiv:2404.11122, 2024 | | 2024 |
CQuAE: A new Contextualised QUestion Answering corpus on Education domain T Gerald, L Tamames, S Ettayeb, HQ Le, P Paroubek, A Vilnat Data & Knowledge Engineering, 102305, 2024 | | 2024 |
Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des … M Candito, T Gerald, JG Moreno Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI …, 2023 | | 2023 |
Recherche d'information conversationnelle L Soulier, P Erbacher, T Gerald, H Djeddal, JY Nie, P Preux 18e Conférence en Recherche d'Information et Applications, 16e Rencontres …, 2023 | | 2023 |
CoSPLADE: Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle N Le Hai, T Gerald, T Formal, JY Nie, B Piwowarksi, L Soulier 18e Conférence en Recherche d'Information et Applications--16e Rencontres …, 2023 | | 2023 |
Continual Learning of Long Topic Sequences in Neural Information Retrieval-abstract. T Gerald, L Soulier CIRCLE, 2022 | | 2022 |
Continual Learning of Long Topic Sequences in Neural Information Retrieval-abstract L Soulier, T Gerald CIRCLE'22: Conference of the Information Retrieval Communities in Europe, 2022 | | 2022 |
Un corpus annoté pour la génération de questions et l’extraction de réponses pour l’enseignement T Gerald, S Ettayeb, HQ Le, G Illouz, P Paroubek, A Vilnat Traitement Automatique des Langues Naturelles, 14-16, 2022 | | 2022 |