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Patricio Cerda-Mardini
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2020 – today
- 2024
- [i6]Olly Styles, Sam Miller, Patricio Cerda-Mardini, Tanaya Guha, Victor Sanchez, Bertie Vidgen:
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting. CoRR abs/2405.00823 (2024) - 2023
- [c3]Félix Gaschi, Patricio Cerda, Parisa Rastin, Yannick Toussaint:
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers. ACL (Findings) 2023: 3020-3042 - [i5]Félix Gaschi, Patricio Cerda, Parisa Rastin, Yannick Toussaint:
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers. CoRR abs/2306.02790 (2023) - 2022
- [j2]Patricio Cerda, Gaël Varoquaux:
Encoding High-Cardinality String Categorical Variables. IEEE Trans. Knowl. Data Eng. 34(3): 1164-1176 (2022) - 2021
- [c2]Denis Parra, Antonio Ossa-Guerra, Manuel Cartagena, Patricio Cerda-Mardini, Felipe del-Rio:
VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems. IUI Companion 2021: 5-6 - 2020
- [c1]Denis Parra, Pablo Messina, Manuel Cartagena, Felipe del-Rio, Patricio Cerda-Mardini:
CuratorNet: Visually-aware Recommendation of Art Images. ComplexRec-ImpactRS@RecSys 2020 - [i4]Patricio Cerda-Mardini, Vladimir Araujo, Alvaro Soto:
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. CoRR abs/2006.00697 (2020) - [i3]Pablo Messina, Manuel Cartagena, Patricio Cerda, Felipe del-Rio, Denis Parra:
CuratorNet: Visually-aware Recommendation of Art Images. CoRR abs/2009.04426 (2020)
2010 – 2019
- 2019
- [b1]Patricio Cerda:
Statistical learning with high-cardinality string categorical variables. (Apprentissage statistique à partir de variables catégorielles non-uniformisées). University of Paris-Saclay, France, 2019 - [i2]Patricio Cerda, Gaël Varoquaux:
Encoding high-cardinality string categorical variables. CoRR abs/1907.01860 (2019) - 2018
- [j1]Patricio Cerda, Gaël Varoquaux, Balázs Kégl:
Similarity encoding for learning with dirty categorical variables. Mach. Learn. 107(8-10): 1477-1494 (2018) - [i1]Patricio Cerda, Gaël Varoquaux, Balázs Kégl:
Similarity encoding for learning with dirty categorical variables. CoRR abs/1806.00979 (2018)
Coauthor Index
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last updated on 2024-06-13 20:58 CEST by the dblp team
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