Robust Asymmetric Loss for Multi-Label Long-Tailed Learning

no code implementations • 10 Aug 2023 • Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu

Although a model can be highly fine-tuned due to a large number of hyper-parameters, it is difficult to optimize all hyper-parameters at the same time, and there might be a risk of overfitting a model.

Image Classification Medical Image Classification +1

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction

no code implementations • NeurIPS 2012 • Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen

Alzheimer disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions.

Multi-Task Learning regression