Pointer networks

Advances in Neural Information Processing Systems

Volumn 2015-January, Issue , 2015, Pages 2692-2700

  Vinyals, Oriol ^a   Fortunato, Meire ^b   Jaitly, Navdeep ^a  

^a GOOGLE INC   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL OPTIMIZATION; INFORMATION SCIENCE; NETWORK ARCHITECTURE; OPTIMIZATION; TURING MACHINES;

APPROXIMATE SOLUTION; COMBINATORIAL OPTIMIZATION PROBLEMS; CONDITIONAL PROBABILITIES; DELAU-NAY TRIANGULATIONS; DISCRETE PROBLEMS; GEOMETRIC PROBLEMS; NEURAL ARCHITECTURES; TRAVELLING SALESMAN PROBLEM;

TRAVELING SALESMAN PROBLEM;

EID: 84965173945     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Ilya Sutskever, Oriol Vinyals, and Quoc V Le. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems, pages 3104-3112, 2014.
2. Alex Graves, Greg Wayne, and Ivo Danihelka. Neural turing machines. arXiv preprint arXiv:1410.5401, 2014.
3. David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams. Learning internal representations by error propagation. Technical report, DTIC Document, 1985.
4. Anthony J Robinson. An application of recurrent nets to phone probability estimation. Neural Networks, IEEE Transactions on, 5(2):298-305, 1994.
5. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. In ICLR 2015, arXiv preprint arXiv:1409.0473, 2014.
6. Jason Weston, Sumit Chopra, and Antoine Bordes. Memory networks. In ICLEAR 2015, arXiv preprint arXiv:1410.3916, 2014.
7. Alex Graves. Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850, 2013.
8. Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. Grammar as a foreign language. arXiv preprint arXiv:1412.7449, 2014.
9. Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. Show and tell: A neural image caption generator. In CVPR 2015, arXiv preprint arXiv:1411.4555, 2014.
10. Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell. Long-term recurrent convolutional networks for visual recognition and description. In CVPR 2015, arXiv preprint arXiv:1411.4389, 2014.
11. Wojciech Zaremba and Ilya Sutskever. Learning to execute. arXiv preprint arXiv:1410.4615, 2014.
12. Sepp Hochreiter and Jürgen Schmidhuber. Long short-term memory. Neural computation, 9(8):1735-1780, 1997.
13. Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov. Unsupervised learning of video representations using lstms. In ICML 2015, arXiv preprint arXiv:1502.04681, 2015.
14. Ray A Jarvis. On the identification of the convex hull of a finite set of points in the plane. Information Processing Letters, 2(1):18-21, 1973.
15. Ronald L. Graham. An efficient algorith for determining the convex hull of a finite planar set. Information processing letters, 1(4):132-133, 1972.
16. Franco P. Preparata and Se June Hong. Convex hulls of finite sets of points in two and three dimensions. Communications of the ACM, 20(2):87-93, 1977.
17. S I Rebay. Efficient unstructured mesh generation by means of delaunay triangulation and bowyer-watson algorithm. Journal of computational physics, 106(1):125-138, 1993.
18. Richard Bellman. Dynamic programming treatment of the travelling salesman problem. Journal of the ACM (JACM), 9(1):61-63, 1962.
19. Suboptimal travelling salesman problem (tsp) solver. Available at https://github.com/dmishin/tsp-solver.
20. Traveling salesman problem c++ implementation. Available at https://github.com/samlbest/traveling-salesman.
21. C++ implementation of traveling salesman problem using christofides and 2-opt. Available at https://github.com/beckysag/traveling-salesman.