The Balanced Loss Curriculum Learning

Curriculum Learning (CL) selects the training samples from the easy to difficult to boost the classification results. Most existing variates of CL measure the difficulty level of an example in an intuitive way, i.e., the loss value between the prediction and the ground truth. This way ignores the di...

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Bibliographic Details
Main Authors: Wei Qin, Zhenzhen Hu, Xueliang Liu, Weijie Fu, Jun He, Richang Hong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8977493/