Supplemental Material: Meta-learning from Tasks with Heterogeneous Attribute Spaces

With NP, we used deep sets for handling tasks with heterogeneous attribute spaces. DS+FT (NP+FT) was the DS (NP) fine-tuned with each target dataset. The number of fine-tuning epochs was five. NP+FT, NP+MAML, and the proposed method. Results Table 2 shows the mean squared error for each target task.