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2020 – today
- 2024
[c8]Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang:
Memory-Efficient Fine-Tuning of Transformers via Token Selection. EMNLP 2024: 21565-21580- [c7]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. ICLR 2024 - [c6]Léandre Adam-Cuvillier, Pierre-Jean Larpin, Antoine Simoulin:
Les représentations contextuelles stéréotypées dans les modèles de langue français : mieux les identifier pour ne pas les reproduire. TALN (1) 2024: 130-143 - [i3]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. CoRR abs/2403.11004 (2024) - [i2]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR abs/2404.01578 (2024) - 2023
- [j1]Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Issam Ibnouhsein, Nicolas J.-B. Brunel
, Raphaël Viné, Nicolas Bousquet, Jules Latapy, Nathalie Reix, Sébastien Molière, Massimo Lodi, Carole Mathelin:
From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer. Comput. Methods Programs Biomed. 240: 107693 (2023) - [c5]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS 2023 - 2022
- [b1]Antoine Simoulin:
Sentence embeddings and their relation with sentence structures. (Plongements de phrases et leurs relations avec les structures de phrases). Université Paris Cité, France, 2022 - [c4]Antoine Simoulin, Benoît Crabbé:
Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations. NAACL-HLT (Student Research Workshop) 2022: 267-276 - 2021
- [c3]Antoine Simoulin, Benoît Crabbé:
How Many Layers and Why? An Analysis of the Model Depth in Transformers. ACL (student) 2021: 221-228 - [c2]Antoine Simoulin, Benoît Crabbé:
Contrasting distinct structured views to learn sentence embeddings. EACL (Student Research Workshop) 2021: 71-79 - [c1]Antoine Simoulin, Benoît Crabbé:
Un modèle Transformer Génératif Pré-entrainé pour le______ français (Generative Pre-trained Transformer in______ (French) We introduce a French adaptation from the well-known GPT model). TALN (1) 2021: 246-255
2010 – 2019
- 2017
- [i1]Nicolas Thiebaut, Antoine Simoulin, Karl Neuberger, Issam Ibnouhsein, Nicolas Bousquet, Nathalie Reix, Sébastien Molière, Carole Mathelin:
An innovative solution for breast cancer textual big data analysis. CoRR abs/1712.02259 (2017)
Coauthor Index
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