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Ismail Ben Ayed

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Articles by Ismail Ben Ayed

[2601.09522] Class Adaptive Conformal Training

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By Ismail Ben, Julio Silva-Rodríguez, Ismail Ben Ayed, Maria Vakalopoulou
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2506.04005] Vocabulary-free few-shot learning for Vision-Language Models

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By Ismail Ben, De Vleeschouwer, Ismail Ben Ayed, Clément Fuchs
| arXiv
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[2312.12730] A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

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By Ismail Ben, Ismail Ben Ayed, Jose Dolz, Sina Hajimiri
| arXiv
[Submitted on 20 Dec 2023] Title:A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models Download a PDF of the paper titled A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models, by Julio Silva-Rodriguez and Sina Hajimiri and Ismail Ben Ayed and Jose Dolz Download PDF HTML (experimental) Abstract:Efficient transfer learning (ETL) is receiving increasing attention to adapt large pre-trained language-vision models on downstream tasks with a few labeled samples.
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[2310.05566] Aggregated f-average Neural Network applied to Few-Shot Class Incremental Learning

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By Ismail Ben, Émilie Chouzenoux, Ismail Ben Ayed, Jean-Christophe Pesquet
| arXiv
arXiv:2310.05566 (cs) [Submitted on 9 Oct 2023 (v1), last revised 19 Sep 2024 (this version, v3)] View PDF Comments: Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI) Cite as: arXiv:2310.05566 [cs.LG] (or arXiv:2310.05566v3 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2310.05566 Submission history From: Mathieu Vu [ view email] [v1] Mon, 9 Oct 2023 09:43:08 UTC (85 KB) [v2] Thu, 30 Nov 2023 15:16:00 UTC (1,216 KB) [v3] Thu, 19 Sep 2024 12:37:55 UTC (122 KB)...
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The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

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By Ismail Ben, Ismail Ben Ayed, Jose Dolz, Adrian Galdran
| arXiv
[Submitted on 30 Nov 2021 ( v1 ), last revised 5 Jul 2023 (this version, v4)] Title:The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Download a PDF of the paper titled The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration, by Bingyuan Liu and 3 other authors Download PDF Abstract: In spite of the dominant performances of deep neural networks, recent works have shown that they are poorly calibrated, resulting in over-confident...
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Proceedings of Machine Learning Research

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By Tal Arbel, Marleen de Bruijne, End-To-End Part Learning, Ismail Ben Ayed
| proceedings.mlr.press
[edit] Volume 121: Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada [edit] Editors: Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal [bib][citeproc] Filter Authors: Filter Titles: Preface Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal; PMLR 121:1-5 [abs][Download PDF] 4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model Samaneh...
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