-
1
-
-
84958264664
-
-
arXiv preprint
-
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. Tensorflow: Large-scale Machine Learning on Heterogeneous Distributed Systems. arXiv:1603.04467, 2016.
-
(2016)
Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
-
-
Abadi, M.1
Agarwal, A.2
Barham, P.3
Brevdo, E.4
Chen, Z.5
Citro, C.6
Corrado, G.S.7
Davis, A.8
Dean, J.9
Devin, M.10
-
3
-
-
85013122601
-
-
arXiv preprint
-
Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, and Scott Yang. Adanet: Adaptive structural learning of artificial neural networks. arXiv preprint arXiv:1607.01097, 2016.
-
(2016)
Adanet: Adaptive Structural Learning of Artificial Neural Networks
-
-
Cortes, C.1
Gonzalvo, X.2
Kuznetsov, V.3
Mohri, M.4
Yang, S.5
-
4
-
-
84897541086
-
Ella: An efficient lifelong learning algorithm
-
Sanjoy Dasgupta and David Mcallester eds, JMLR Workshop and Conference Proceedings
-
Eric Eaton and Paul L. Ruvolo. ELLA: An efficient lifelong learning algorithm. In Sanjoy Dasgupta and David Mcallester (eds.), ICML, volume 28, pp. 507–515. JMLR Workshop and Conference Proceedings, 2013.
-
(2013)
ICML
, vol.28
, pp. 507-515
-
-
Eaton, E.1
Ruvolo, P.L.2
-
5
-
-
85016395012
-
Overcoming catastrophic forgetting in neural networks
-
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. Overcoming catastrophic forgetting in neural networks. Proceedings of the National Academy of Sciences, pp. 201611835, 2017.
-
(2017)
Proceedings of the National Academy of Sciences
, pp. 201611835
-
-
Kirkpatrick, J.1
Pascanu, R.2
Rabinowitz, N.3
Veness, J.4
Desjardins, G.5
Rusu, A.A.6
Milan, K.7
Quan, J.8
Ramalho, T.9
Grabska-Barwinska, A.10
-
7
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
8
-
-
84867114266
-
Learning task grouping and overlap in multi-task learning
-
Abhishek Kumar and Hal Daume III. Learning task grouping and overlap in multi-task learning. In ICML, 2012.
-
(2012)
ICML
-
-
Kumar, A.1
Daume, H.2
-
9
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
Christoph Lampert, Hannes Nickisch, and Stefan Harmeling. Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lampert, C.1
Nickisch, H.2
Harmeling, S.3
-
10
-
-
0032203257
-
Gradient-based Learning Applied to Document Recognition
-
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based Learning Applied to Document Recognition. Proceedings of the IEEE, 86(11):2278–2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
12
-
-
85052107291
-
Nonparametric neural networks
-
George Philipp and Jaime G. Carbonell. Nonparametric neural networks. In ICLR, 2017.
-
(2017)
ICLR
-
-
Philipp, G.1
Carbonell, J.G.2
-
13
-
-
85016426881
-
-
arXiv preprint
-
Andrei Rusu, Neil Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell. Progressive neural networks. arXiv preprint arXiv:1606.04671, 2016.
-
(2016)
Progressive Neural Networks
-
-
Rusu, A.1
Rabinowitz, N.2
Desjardins, G.3
Soyer, H.4
Kirkpatrick, J.5
Kavukcuoglu, K.6
Pascanu, R.7
Hadsell, R.8
-
14
-
-
0005763437
-
A lifelong learning perspective for mobile robot control
-
Graefe ed, Elsevier
-
S. Thrun. A lifelong learning perspective for mobile robot control. In V. Graefe (ed.), Intelligent Robots and Systems. Elsevier, 1995.
-
(1995)
Intelligent Robots and Systems
-
-
Thrun, S.1
-
15
-
-
85015334059
-
Learning structured sparsity in deep neural networks
-
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li. Learning structured sparsity in deep neural networks. In NIPS, pp. 2074–2082, 2016.
-
(2016)
NIPS
, pp. 2074-2082
-
-
Wen, W.1
Wu, C.2
Wang, Y.3
Chen, Y.4
Li, H.5
-
16
-
-
84913546601
-
Error-driven incremental learning in deep convolutional neural network for large-scale image classification
-
Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, and Zheng Zhang. Error-driven incremental learning in deep convolutional neural network for large-scale image classification. In Proceedings of the 22nd ACM international conference on Multimedia, pp. 177–186. ACM, 2014.
-
(2014)
Proceedings of the 22nd ACM International Conference on Multimedia
, pp. 177-186
-
-
Xiao, T.1
Zhang, J.2
Yang, K.3
Peng, Y.4
Zhang, Z.5
-
17
-
-
85046995202
-
Continual learning through synaptic intelligence
-
Friedemann Zenke, Ben Poole, and Surya Ganguli. Continual learning through synaptic intelligence. In ICML, pp. 3987–3995, 2017.
-
(2017)
ICML
, pp. 3987-3995
-
-
Zenke, F.1
Poole, B.2
Ganguli, S.3
|