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Statistical learning with high-cardinality string categorical variables. (Apprentissage statistique à partir de variables catégorielles non-uniformisées).. University of Paris-Saclay, France, (2019)CuratorNet: Visually-aware Recommendation of Art Images., , , , and . CoRR, (2020)Encoding high-cardinality string categorical variables, and . (2019)cite arxiv:1907.01860.Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers., , , and . ACL (Findings), page 3020-3042. Association for Computational Linguistics, (2023)Similarity encoding for learning with dirty categorical variables., , and . Mach. Learn., 107 (8-10): 1477-1494 (2018)Encoding High-Cardinality String Categorical Variables., and . IEEE Trans. Knowl. Data Eng., 34 (3): 1164-1176 (2022)CuratorNet: Visually-aware Recommendation of Art Images., , , , and . ComplexRec-ImpactRS@RecSys, volume 2697 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism., , and . CoRR, (2020)VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems., , , , and . IUI Companion, page 5-6. ACM, (2021)Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress., , , , , and . IEEE Access, (2020)