9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 1 cited
Deep Multimodality Model for Multi-task Multi-view Learning
Lecheng Zheng, Yu Cheng, Jingrui He
Many real-world problems exhibit the coexistence of multiple types of heterogeneity, such as view heterogeneity (i.e., multi-view property) and task heterogeneity (i.e., multi-task…
cs.CV2016★ 9 cited
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural…