Static Analysis of Shape in TensorFlow Programs
Machine learning has been widely adopted in diverse science and engineering domains, aided by reusable libraries and quick development patterns. The TensorFlow library is probab...
Publications
5 shownShow, Attend and Tell: Neural Image Caption Generation with Visual\n Attention
Inspired by recent work in machine translation and object detection, we\nintroduce an attention based model that automatically learns to describe the\ncontent of images. We desc...
On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International...
Neural Machine Translation by Jointly Learning to Align and Translate
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images. We descri...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 26,343
- Institution
- Université de Montréal
External Links
Identifiers
- ORCID
- 0000-0003-1669-3211
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.