The state-of-the-art performances have been significantly advanced for classification and sequence labeling tasks, such as natural language inference (Bowman et al., 2015), named-entity recognition, SQuAD question answering (Rajpurkar et al., 2016) etc.
results on four datasets show that PoDA can improve model performance over strong baselines without using any task-specific techniques and significantly speed up convergence.