LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data

Acte de colloque

Open Access

Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille et Sébastien Fournier

SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.3782-3791

SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (Padua, Italy, 13/07/2025–18/07/2025)

Résumé

benchmark

multimodal learning

Uncertainty

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url

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Titre: LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Créateurs - sans rôle: Grigor Bezirganyan - Aix-Marseille Université
Sana Sellami - Aix-Marseille Université
Laure Berti-Équille - Institut de Recherche pour le Développement
Sébastien Fournier - Aix-Marseille Université
Détails de publication: SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.3782-3791
Colloque: SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (Padua, Italy, 13/07/2025–18/07/2025)
Identifiants: 99115084209311
Unité académique: Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
Langue: English
Type de ressource: Conference proceeding
Champs locaux: hal-05282191