Julien Delaunay

According to our database1, Julien Delaunay authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Explainability for Machine Learning Models: From Data Adaptability to User Perception.
CoRR, 2024

2023
Explainability for Machine Learning Models: From Data Adaptability to User Perception: Strategies for Faithful and Understandable Explanations. (Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur / Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur: Stratégies pour des explications fidèles et compréhensibles).
PhD thesis, 2023

A Comprehensive Survey of Document-level Relation Extraction (2016-2023).
CoRR, 2023

"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 1 : travaux de recherche originaux, 2023

"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022
s-LIME: Reconciling Locality and Fidelity in Linear Explanations.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

When Should We Use Linear Explanations?
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020
REMI: Mining Intuitive Referring Expressions on Knowledge Bases.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Improving Anchor-based Explanations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020


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