-
1
-
-
85018882182
-
Interaction networks for learning about objects, relations and physics
-
Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, et al. Interaction networks for learning about objects, relations and physics. In Advances in Neural Information Processing Systems, pp. 4502–4510, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 4502-4510
-
-
Battaglia, P.1
Pascanu, R.2
Lai, M.3
Rezende, D.J.4
-
2
-
-
85032751403
-
Geometric deep learning: Going beyond euclidean data
-
Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst. Geometric deep learning: going beyond euclidean data. IEEE Signal Processing Magazine, 34(4):18–42, 2017.
-
(2017)
IEEE Signal Processing Magazine
, vol.34
, Issue.4
, pp. 18-42
-
-
Bronstein, M.M.1
Bruna, J.2
LeCun, Y.3
Szlam, A.4
Vandergheynst, P.5
-
4
-
-
84965157495
-
Spectral networks and locally connected networks on graphs
-
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. Spectral networks and locally connected networks on graphs. Proc. ICLR, 2013.
-
(2013)
Proc. ICLR
-
-
Bruna, J.1
Zaremba, W.2
Szlam, A.3
LeCun, Y.4
-
5
-
-
85032782283
-
A compositional object-based approach to learning physical dynamics
-
Michael B. Chang, Tomer Ullman, Antonio Torralba, and Joshua B. Tenenbaum. A compositional object-based approach to learning physical dynamics. ICLR, 2016.
-
(2016)
ICLR
-
-
Chang, M.B.1
Ullman, T.2
Torralba, A.3
Tenenbaum, J.B.4
-
7
-
-
84965159799
-
Convolutional networks on graphs for learning molecular fingerprints
-
David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, and Ryan P Adams. Convolutional networks on graphs for learning molecular fingerprints. In Neural Information Processing Systems, 2015.
-
(2015)
Neural Information Processing Systems
-
-
Duvenaud, D.1
Maclaurin, D.2
Aguilera-Iparraguirre, J.3
Gómez-Bombarelli, R.4
Hirzel, T.5
Aspuru-Guzik, A.6
Adams, R.P.7
-
9
-
-
33144466753
-
One-shot learning of object categories
-
Li Fei-Fei, Rob Fergus, and Pietro Perona. One-shot learning of object categories. IEEE transactions on pattern analysis and machine intelligence, 28(4):594–611, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.4
, pp. 594-611
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
11
-
-
85038875959
-
-
arXiv preprint
-
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. Neural message passing for quantum chemistry. arXiv preprint arXiv:1704.01212, 2017.
-
(2017)
Neural Message Passing for Quantum Chemistry
-
-
Gilmer, J.1
Schoenholz, S.S.2
Riley, P.F.3
Vinyals, O.4
Dahl, G.E.5
-
15
-
-
84983438115
-
Molecular graph convolutions: Moving beyond fingerprints
-
Steven Kearnes, Kevin McCloskey, Marc Berndl, Vijay Pande, and Patrick Riley. Molecular graph convolutions: moving beyond fingerprints. Journal of computer-aided molecular design, 30(8): 595–608, 2016.
-
(2016)
Journal of Computer-Aided Molecular Design
, vol.30
, Issue.8
, pp. 595-608
-
-
Kearnes, S.1
McCloskey, K.2
Berndl, M.3
Pande, V.4
Riley, P.5
-
19
-
-
84949683101
-
Human-level concept learning through probabilistic program induction
-
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum. Human-level concept learning through probabilistic program induction. Science, 350(6266):1332–1338, 2015.
-
(2015)
Science
, vol.350
, Issue.6266
, pp. 1332-1338
-
-
Lake, B.M.1
Salakhutdinov, R.2
Tenenbaum, J.B.3
-
24
-
-
85043385565
-
Optimization as a model for few-shot learning
-
arXiv preprint
-
Sachin Ravi and Hugo Larochelle. Optimization as a model for few-shot learning. ICLR, 2016.
-
(2016)
ICLR
-
-
Ravi, S.1
Larochelle, H.2
-
25
-
-
85046999920
-
Question asking as program generation
-
Anselm Rothe, Brenden Lake, and Todd Gureckis. Question asking as program generation. NIPS, 2017.
-
(2017)
NIPS
-
-
Rothe, A.1
Lake, B.2
Gureckis, T.3
-
26
-
-
85040308896
-
Meta-learning with memory-augmented neural networks
-
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. Meta-learning with memory-augmented neural networks. In International conference on machine learning, pp. 1842–1850, 2016.
-
(2016)
International Conference on Machine Learning
, pp. 1842-1850
-
-
Santoro, A.1
Bartunov, S.2
Botvinick, M.3
Wierstra, D.4
Lillicrap, T.5
-
27
-
-
58649113008
-
The graph neural network model
-
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61–80, 2009.
-
(2009)
IEEE Transactions on Neural Networks
, vol.20
, Issue.1
, pp. 61-80
-
-
Scarselli, F.1
Gori, M.2
Tsoi, A.C.3
Hagenbuchner, M.4
Monfardini, G.5
-
30
-
-
85038368581
-
-
arXiv preprint
-
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. arXiv preprint arXiv:1706.03762, 2017.
-
(2017)
Attention Is All You Need
-
-
Vaswani, A.1
Shazeer, N.2
Parmar, N.3
Uszkoreit, J.4
Jones, L.5
Gomez, A.N.6
Kaiser, L.7
Polosukhin, I.8
-
32
-
-
85018863845
-
Matching networks for one shot learning
-
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Daan Wierstra, et al. Matching networks for one shot learning. In Advances in Neural Information Processing Systems, pp. 3630–3638, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 3630-3638
-
-
Vinyals, O.1
Blundell, C.2
Lillicrap, T.3
Wierstra, D.4
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