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cs.LG2021★ 1 cited
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Xin Zhang, Zixuan Liu, Kaiwen Xiao +5
Labels are costly and sometimes unreliable. Noisy label learning, semi-supervised learning, and contrastive learning are three different strategies for designing learning processes…
cs.LG2014★ 2 cited
Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data
Changsheng Li, Fan Wei, Weishan Dong +3
Online multiple-output regression is an important machine learning technique for modeling, predicting, and compressing multi-dimensional correlated data streams. In this paper, we…