Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling
Improved accuracy for budbreak and cold hardiness is achieved by a single MTL model that simultaneously learns both tasks, and a variety of MTL architectures are developed and evaluated in both MTL and transfer learning settings.
Aseem Saxena, Paola Pesántez-Cabrera, Markus Keller et al.
· 0 citations