Adaptive neural compilation

Advances in Neural Information Processing Systems

Volumn , Issue , 2016, Pages 1452-1460

  Bunel, Rudy ^a   Desmaison, Alban ^a   Kohli, Pushmeet ^b   Torr, Philip H S ^a   Pawan Kumar, M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA DISTRIBUTION; INPUT DISTRIBUTIONS; OPTIMISATIONS;

SEMANTICS;

EID: 85018926711     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Marcin Andrychowicz and Karol Kurach. Learning efficient algorithms with hierarchical attentive memory. CoRR, 2016.
2. Alex Graves, Greg Wayne, and Ivo Danihelka. Neural turing machines. CoRR, 2014.
3. Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, and Phil Blunsom. Learning to transduce with unbounded memory. In NIPS, 2015.
4. Frédéric Gruau, Jean-Yves Ratajszczak, and Gilles Wiber. A neural compiler. Theoretical Computer Science, 1995.
5. Armand Joulin and Tomas Mikolov. Inferring algorithmic patterns with stack-augmented recurrent nets. In NIPS, 2015.
6. Łukasz Kaiser and Ilya Sutskever. Neural gpus learn algorithms. In ICLR, 2016.
7. Diederik Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In ICLR, 2015.
8. Karol Kurach, Marcin Andrychowicz, and Ilya Sutskever. Neural random-access machines. In ICLR, 2016.
9. Henry Massalin. Superoptimizer: a look at the smallest program. In ACM SIGPLAN Notices, volume 22, pages 122-126. IEEE Computer Society Press, 1987.
10. Arvind Neelakantan, Luke Vilnis, Quoc V Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, and James Martens. Adding gradient noise improves learning for very deep networks. In ICLR, 2016.
11. João Pedro Neto, Hava Siegelmann, and Félix Costa. Symbolic processing in neural networks. Journal of the Brazilian Computer Society, 2003.
12. Scott Reed and Nando de Freitas. Neural programmer-interpreters. In ICLR, 2016.
13. Eric Schkufza, Rahul Sharma, and Alex Aiken. Stochastic superoptimization. In ACM SIGARCH Computer Architecture News, 2013.
14. Rahul Sharma, Eric Schkufza, Berkeley Churchill, and Alex Aiken. Conditionally correct superoptimization. In OOPSLA, 2015.
15. Hava Siegelmann. Neural programming language. In AAAI, 1994.
16. Ronald Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning, 1992.
17. Wojciech Zaremba and Ilya Sutskever. Reinforcement learning neural turing machines. arXiv preprint arXiv:1505.00521, 2015.
18. Wojciech Zaremba, Tomas Mikolov, Armand Joulin, and Rob Fergus. Learning simple algorithms from examples. CoRR, 2015.