Search Results - "Toubhans, Antoine"

Open-Set Likelihood Maximization for Few-Shot Learning by Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Piantanida, Pablo, Hudelot, Celine, Ben Ayed, Ismail

“…We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classifying instances among a set of classes for which we only have a few labeled samples,…”
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Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling by Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Hudelot, Celine

“…Every day, a new method is published to tackle Few-Shot Image Classification, showing better and better performances on academic benchmarks. Nevertheless, we…”
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Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling by Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Hudelot, Celine

“…Every day, a new method is published to tackle Few-Shot Image Classification, showing better and better performances on academic benchmarks. Nevertheless, we…”
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Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift by Bennequin, Etienne, Bouvier, Victor, Tami, Myriam, Toubhans, Antoine, Hudelot, Céline

“…Few-Shot Learning (FSL) algorithms have made substantial progress in learning novel concepts with just a handful of labelled data. To classify query instances…”
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Open-Set Likelihood Maximization for Few-Shot Learning by Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Piantanida, Pablo, Hudelot, Céline, Ayed, Ismail Ben

“…We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classifying instances among a set of classes for which we only have a few labeled samples,…”
Get full text

Model-Agnostic Few-Shot Open-Set Recognition by Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Hudelot, Celine, Toubhans, Antoine, Piantanida, Pablo, Ayed, Ismail Ben

“…We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classifying instances among a set of classes for which we only have few labeled samples,…”
Get full text