Web: http://arxiv.org/abs/2206.11049

June 23, 2022, 1:10 a.m. | Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Xin Jing, Vincent Karas, Xie Jiangjian, Zixing Zhang, Yamamoto Yoshiharu, Bjoern W. Schuller

cs.LG updates on arXiv.org arxiv.org

We propose a novel Dynamic Restrained Uncertainty Weighting Loss to
experimentally handle the problem of balancing the contributions of multiple
tasks on the ICML ExVo 2022 Challenge. The multitask aims to recognize
expressed emotions and demographic traits from vocal bursts jointly. Our
strategy combines the advantages of Uncertainty Weight and Dynamic Weight
Average, by extending weights with a restraint term to make the learning
process more explainable. We use a lightweight multi-exit CNN architecture to
implement our proposed loss approach. …

arxiv learning loss multitask learning uncertainty

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