Feb. 13, 2024, 5:42 a.m. | Shonal Chaudhry Anuraganand Sharma

cs.LG updates on arXiv.org arxiv.org

The order of training samples can have a significant impact on the performance of a classifier. Curriculum learning is a method of ordering training samples from easy to hard. This paper proposes the novel idea of a curriculum learning approach called Data Distribution-based Curriculum Learning (DDCL). DDCL uses the data distribution of a dataset to build a curriculum based on the order of samples. Two types of scoring methods known as DDCL (Density) and DDCL (Point) are used to score …

build classifier cs.lg curriculum curriculum learning data dataset distribution easy impact novel paper performance samples training

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