Posted: 21st April 2016
Professor Nando de Freitas, one of the leaders in the collaborative efforts between Oxford Computer Science and Google Deepmind, is one of the recipients of the best paper award at ICLR 2016, one of the premier conferences on deep learning. The paper introduces a compositional neural computer that learns programs and how to interpret them. It even learns to code. The video below provides an overview. The following figures show how the same neural programmer and interpreter (NPI) is able to execute several programs, including addition, sorting, and interpretation of images and planning. The figures also show the code produced by the machine, which provides a way for humans to understand what the machine is doing.



| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Best paper award at International Conference on Information Processing in Sensor Networks | 0 | 10 | 07-05-2014 |
| 2 | Best paper award at International Conference on Security and Privacy in Mobile Information and Communication Systems | 0 | 8.79 | 05-07-2013 |
| 3 | Best paper award at ACM CCS International Workshop | 0 | 10 | 07-11-2016 |
| 4 | Paper Award at International Workshop on Discrete Event Systems | 0 | 10 | 19-05-2014 |
| 5 | Best paper win at International Colloquium on Automata, Languages and Programming | 0 | 10 | 10-05-2017 |
| 6 | Best paper award received at 1st Cyber-Physical System Security Workshop | 0 | 20 | 22-04-2015 |
| 7 | Distinguished Paper Award won at USENIX | 0 | 10 | 23-08-2023 |
| 8 | Best Paper Award at RuleML 2015 | 0 | 26.67 | 17-08-2015 |
| 9 | Best paper award received at European Conference on Wireless Sensor Networks | 0 | 9.15 | 22-02-2013 |
| 10 | Double Best Paper Win at ICALP 2016 Conference | 0 | 22.5 | 04-05-2016 |