- Contextual Speech Recognition with Difficult Negative Training Examples
- Uri Alon, Golan Pundak, Tara N. Sainath
- Research was done during an internship at Google NYC.
- Accepted to ICASSP’2019: International Conference on Acoustics, Speech, and Signal Processing
- [PDF]
- code2seq: Generating Sequences from Structured Representations of Code
- Uri Alon, Shaked Brody, Omer Levy, Eran Yahav
- Accepted to ICLR’2019: International Conference on Learning Representations
- Online demo: https://code2seq.org
- [PDF][Code and trained model][BibTeX]
- Datasets: [Java-small][Java-med][Java-large]
- code2vec: Learning Distributed Representations of Code
- Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
- Appeared at POPL’2019: Principles of Programming Languages
- Online demo: https://www.code2vec.org
- [PDF][Slides] [BibTeX]
- [Code and trained model]
- [Token vectors][Method name vectors]
- A General Path-Based Representation for Predicting Program Properties
- Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
- Appeared at PLDI’2018: Programming Languages Design and Implementation
- [PDF][Slides][PLDI Talk][BibTeX]
- [JS Code][JS Dataset][Python Dataset]
- [JS embeddings]