[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
his version takes advantage of list comprehensions and dictionary comprehensions for more concise and Pythonic code. It also gracefully handles missing evaluation items and prints a hyphen ('-') if an item is not found in the results.
his version takes advantage of list comprehensions and dictionary comprehensions for more concise and Pythonic code. It also gracefully handles missing evaluation items and prints a hyphen ('-') if an item is not found in the results.