Instructions for EMNLP-IJCNLP 2019 Proceedings
Table 1: Results on GLUE test sets. Metrics differ per task (explained in Appendix A) but the best result is highlighted.
['[BOLD] Model', '[BOLD] Test Dataset CoLA', '[BOLD] Test Dataset MRPC', '[BOLD] Test Dataset STS-B', '[BOLD] Test Dataset RTE']
the experimental results on the GLUE test set. Generally, the meta-learning algorithms achieve better performance than the strong baseline models, with Reptile performing the best.