-
1
-
-
85083953689
-
Neural machine translation by jointly learning to align and translate
-
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR.
-
(2015)
ICLR
-
-
Bahdanau, D.1
Cho, K.2
Bengio, Y.3
-
3
-
-
84857819132
-
Theano: A CPU and GPU math expression compiler
-
In
-
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio. 2010. Theano: a CPU and GPU math expression compiler. In In Proc. of SciPy.
-
(2010)
Proc. Of SciPy.
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
6
-
-
84971640658
-
-
François Chollet. 2015. keras. https: //github.com/fchollet/keras.
-
(2015)
Keras
-
-
Chollet, F.1
-
7
-
-
33745838229
-
The pascal recognising textual entailment challenge
-
Springer
-
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006. The pascal recognising textual entailment challenge. In Machine learning challenges. evaluating predictive uncertainty, visual object classification, and recognising textual entailment, pages 177-190. Springer.
-
(2006)
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Textual Entailment
, pp. 177-190
-
-
Dagan, I.1
Glickman, O.2
Magnini, B.3
-
8
-
-
79953685181
-
Building watson: An overview of the deepqa project
-
David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A Kalyanpur, Adam Lally, J William Murdock, Eric Nyberg, John Prager, et al. 2010. Building watson: An overview of the deepqa project. AI magazine, 31(3):59-79.
-
(2010)
AI Magazine
, vol.31
, Issue.3
, pp. 59-79
-
-
Ferrucci, D.1
Brown, E.2
Chu-Carroll, J.3
Fan, J.4
Gondek, D.5
Kalyanpur, A.A.6
Lally, A.7
William Murdock, J.8
Nyberg, E.9
Prager, J.10
-
9
-
-
84965139942
-
Teaching machines to read and comprehend
-
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015. Teaching machines to read and comprehend. In Advances in Neural Information Processing Systems, pages 1684-1692.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 1684-1692
-
-
Hermann, K.M.1
Kocisky, T.2
Grefenstette, E.3
Espeholt, L.4
Kay, W.5
Suleyman, M.6
Blunsom, P.7
-
10
-
-
85083953290
-
The goldilocks principle: Reading children's books with explicit memory representations
-
Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston. 2016. The goldilocks principle: Reading children's books with explicit memory representations. ICLR.
-
(2016)
ICLR
-
-
Hill, F.1
Bordes, A.2
Chopra, S.3
Weston, J.4
-
13
-
-
85083951076
-
ADaM: A method for stochastic optimization
-
Diederik Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. ICLR.
-
(2015)
ICLR
-
-
Kingma, D.1
Ba, J.2
-
14
-
-
84961289992
-
Glove: Global vectors for word representation
-
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. GloVe: Global vectors for word representation. Proc. EMNLP, 12.
-
(2014)
Proc. EMNLP
, vol.12
-
-
Pennington, J.1
Socher, R.2
Manning, C.D.3
-
15
-
-
84926345282
-
MCTest: A challenge dataset for the open-domain machine comprehension of text
-
Matthew Richardson, Christopher JC Burges, and Erin Renshaw. 2013. Mctest: A challenge dataset for the open-domain machine comprehension of text. In EMNLP, volume 1, page 2.
-
(2013)
EMNLP
, vol.1
, pp. 2
-
-
Richardson, M.1
Burges, C.J.C.2
Renshaw, E.3
-
18
-
-
85011949652
-
A parallel-hierarchical model for machine comprehension on sparse data
-
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, and Kaheer Suleman. 2016. A parallel-hierarchical model for machine comprehension on sparse data. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics.
-
(2016)
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
-
-
Trischler, A.1
Ye, Z.2
Yuan, X.3
He, J.4
Bachman, P.5
Suleman, K.6
-
20
-
-
84994156970
-
Learning natural language inference with lstm
-
Shuohang Wang and Jing Jiang. 2016. Learning natural language inference with lstm. NAACL.
-
(2016)
NAACL
-
-
Wang, S.1
Jiang, J.2
-
21
-
-
84862275042
-
Structured prediction cascades
-
David J Weiss and Benjamin Taskar. 2010. Structured prediction cascades. In AIS-TATS, pages 916-923.
-
(2010)
AIS-TATS
, pp. 916-923
-
-
Weiss, D.J.1
Taskar, B.2
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