Work

Class-Incremental Learning Enhanced: Assessing New Exemplar Selection Strategies in the iCaRL Framework

Year: 2024

Type: conference-paper

Source: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

DOI: 10.1109/synasc65383.2024.00045

Author: Erik Zsolt Varga

Institution: West University of Timişoara

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407950726

FWCI: 0.587

Cites: 15

Cited by: 2

Related to: 10