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Raphael Lafargue
Observed names:
Lafargue, Raphael,
Lafargue, Raphaël,
Raphaël Lafargue
Observed institutions:
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance,
IMT Atlantique,
French–Australian Laboratory for Human / Autonomous Agents Teaming,
The University of Adelaide
ORCID:
0000-0003-4385-5749
Observed ORCID:
0000-0003-4385-5749
OpenAlex ID:
A5020986638
Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components
2022
·
Yassir Bendou
, Yuqing Hu
, et al.
·
Journal of Imaging
·
75
PDF
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
2022
·
Bendou, Yassir
, Hu, Yuqing
, et al.
·
arXiv (Cornell University)
·
9
PDF
Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra
2021
·
Daniel Hesslow
, Alessandro Cappelli
, et al.
·
IEEE Hot Chips Symposium
·
5
PDF
End-to-End Historical Music Restoration in Latent Space
2026
·
Cho, Steven
, Koo, Junghyun
, et al.
·
arXiv (Cornell University)
PDF
Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning
2026
·
Futami, Hayato
, Shahmohammadi, Hassan
, et al.
·
arXiv (Cornell University)
PDF
Approches centrées sur les données pour l’apprentissage parcimonieux
2024
·
Lafargue, Raphaël
·
theses.fr (ABES)
Few-shot learning, a data-centric approach for adaptation
2024
·
Raphaël Lafargue
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning
2024
·
Lafargue, Raphael
, Smith, Luke
, et al.
·
arXiv (Cornell University)
PDF
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
2024
·
Lafargue, Raphael
, Bendou, Yassir
, et al.
·
arXiv (Cornell University)
PDF
Classes adversaires dans l'apprentissage avec peu d'exemples
2022
·
Lafargue, Raphael
, Diguet, Jean-Philippe
, et al.
·
HAL
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Works count:
10
Citation count:
89
H-index:
3
I10-index:
1
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