Work

Semantics-driven attentive few-shot learning over clean and noisy samples

Year: 2022

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2022.09.121

Authors: Orhun Bugra Baran, Ramazan Gokberk Cinbis

Institution: Middle East Technical University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Awards: Görsel Öge Tanıma Modellerinin Eksik Gözetimli Öğrenimi, Üretken Modelleme Tabanlı Meta-Öğrenme Yaklaşımları

OpenAlex ID: W4296681876

FWCI: 0.321

Cites: 43

Cited by: 4

Related to: 10