Making neural programming architectures generalize via recursion

5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings

Volumn , Issue , 2017, Pages

  Cai, Jonathon ^a   Shin, Richard ^a   Song, Dawn ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

BUBBLE SORT; INPUT COMPLEXITY; INTERPRETABILITY; NEURAL ARCHITECTURES; PROGRAM SEMANTICS; RECURSIONS; TOPOLOGICAL SORT; TRAINING DATA;

NETWORK ARCHITECTURE;

EID: 85063566337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Marcin Andrychowicz and Karol Kurach. Learning efficient algorithms with hierarchical attentive memory. CoRR, abs/1602.03218, 2016. URL http://arxiv.org/abs/1602.03218.
2. Alex Graves, Greg Wayne, and Ivo Danihelka. Neural turing machines. CoRR, abs/1410.5401, 2014. URL http://arxiv.org/abs/1410.5401.
3. Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwiska, Sergio Gmez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adri Puigdomnech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, and Demis Hass-abis. Hybrid computing using a neural network with dynamic external memory. Nature, 538 (7626):471-476, October 2016. ISSN 0028-0836, 1476-4687. doi: 10.1038/nature20101. URL http://www.nature.com/doifinder/10.1038/nature20101.
4. Lukasz Kaiser and Ilya Sutskever. Neural gpus learn algorithms. CoRR, abs/1511.08228, 2015. URL http://arxiv.org/abs/1511.08228.
5. Karol Kurach, Marcin Andrychowicz, and Ilya Sutskever. Neural random access machines. ERCIM News, 2016(107), 2016. URL http://ercim-news.ercim.eu/en107/special/neural-random-access-machines.
6. Arvind Neelakantan, Quoc V. Le, and Ilya Sutskever. Neural programmer: Inducing latent programs with gradient descent, 2015.
7. Scott Reed and Nando de Freitas. Neural programmer-interpreters. ICLR, 2016.
8. Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. Pointer networks. In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, pp. 2692-2700, 2015. URL http://papers.nips.cc/paper/5866-pointer-networks.
9. Wojciech Zaremba, Tomas Mikolov, Armand Joulin, and Rob Fergus. Learning simple algorithms from examples. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, pp. 421-429, 2016. URL http://jmlr.org/proceedings/papers/v48/zaremba16.html.