#NeurIPS2019 Our work with MIT improves the interpretability of NLP models with an adversarial class-wise rationalization technique, which can find explanations towards any given class. Poster: Tue @ East Exhibition Hall B + C #1. @MITIBMLab @neurobongo @MIT_CSAIL @Bishop_Gorov

Video: youtube.com/watch?v=DFtJL7… Code: github.com/code-terminato… Paper: arxiv.org/abs/1910.12853