| code2vec: Learning Distributed Representations of Code U Alon, M Zilberstein, O Levy, E Yahav Principles of Programming Languages (POPL), 2019 | 90 | 2019 |
| A General Path-Based Representation for Predicting Program Properties U Alon, M Zilberstein, O Levy, E Yahav Programming Languages Design and Implementation (PLDI), 2018 | 41 | 2018 |
| code2seq: Generating sequences from structured representations of code U Alon, S Brody, O Levy, E Yahav International Conference on Learning Representations (ICLR), 2019 | 39 | 2019 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 23 | 2019 |
| Contextual Speech Recognition with Difficult Negative Training Examples U Alon, G Pundak, TN Sainath International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2018 | 4 | 2018 |
| Neural reverse engineering of stripped binaries Y David, U Alon, E Yahav arXiv preprint arXiv:1902.09122, 2019 | 3 | 2019 |
| Structural Language Models for Any-Code Generation U Alon, R Sadaka, O Levy, E Yahav arXiv preprint arXiv:1910.00577, 2019 | 1 | 2019 |
| Adversarial Examples for Models of Code N Yefet, U Alon, E Yahav arXiv preprint arXiv:1910.07517, 2019 | | 2019 |
Eran YahavTechnion, IsraelVerified email at cs.technion.ac.il
