DocBERT: BERT for document classification A Adhikari, A Ram, R Tang, J Lin arXiv preprint arXiv:1904.08398, 2019 | 445 | 2019 |
Rethinking complex neural network architectures for document classification A Adhikari*, A Ram*, R Tang, J Lin Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 127 | 2019 |
What makes a code change easier to review: an empirical investigation on code change reviewability A Ram*, AA Sawant*, M Castelluccio, A Bacchelli Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 56 | 2018 |
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT A Adhikari, A Ram, R Tang, WL Hamilton, J Lin Proceedings of the 5th Workshop on Representation Learning for NLP, 72-77, 2020 | 33 | 2020 |
Supervised sentiment classification with CNNs for diverse SE datasets A Ram, M Nagappan arXiv preprint arXiv:1812.09653, 2018 | 10 | 2018 |
Investigating type declaration mismatches in Python L Pascarella, A Ram, A Nadeem, D Bisesser, N Knyazev, A Bacchelli 2018 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2018 | 8 | 2018 |
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits A Ram, J Xin, M Nagappan, Y Yu, RC Lozoya, A Sabetta, J Lin arXiv preprint arXiv:1911.07620, 2019 | 2 | 2019 |