-
1
-
-
84958264664
-
-
Software tensorflow.org
-
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, and Zhifeng Chen et al. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. URL http://tensorflow.org/. Software available from tensorflow.org.
-
(2015)
TensorFlow: Large-scale machine learning on heterogeneous systems
-
-
Abadi, Martín1
Agarwal, Ashish2
Barham, Paul3
Brevdo, Eugene4
Chen, Zhifeng5
-
2
-
-
84929000252
-
On classification with bags, groups and sets
-
Veronika Cheplygina, David M.J. Tax, and Marco Loog. On classification with bags, groups and sets. Pattern Recognition Letters, 59:11 – 17, 2015.
-
(2015)
Pattern Recognition Letters
, vol.59
, pp. 11-17
-
-
Cheplygina, Veronika1
Tax, David M.J.2
Loog, Marco3
-
3
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
June
-
S. Chopra, R. Hadsell, and Y. LeCun. Learning a similarity metric discriminatively, with application to face verification. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, pp. 539–546 Vol. 1, June 2005.
-
(2005)
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
, vol.1
, pp. 539-546
-
-
Chopra, S.1
Hadsell, R.2
LeCun, Y.3
-
4
-
-
84973384984
-
-
Zenodo: Geneva, Switzerland
-
Sander Dieleman, Jan Schlüter, Colin Raffel, Eben Olson, SK Sønderby, D Nouri, D Maturana, M Thoma, E Battenberg, J Kelly, et al. Lasagne: First release. Zenodo: Geneva, Switzerland, 2015.
-
(2015)
Lasagne: First release
-
-
Dieleman, Sander1
Schlüter, Jan2
Raffel, Colin3
Olson, Eben4
Sønderby, SK5
Nouri, D6
Maturana, D7
Thoma, M8
Battenberg, E9
Kelly, J10
-
6
-
-
84893460360
-
Kernel Bayes’ rule: Bayesian inference with positive definite kernels
-
Kenji Fukumizu, Le Song, and Arthur Gretton. Kernel Bayes’ rule: Bayesian inference with positive definite kernels. The Journal of Machine Learning Research, 14(1):3753–3783, 2013.
-
(2013)
The Journal of Machine Learning Research
, vol.14
, Issue.1
, pp. 3753-3783
-
-
Fukumizu, Kenji1
Song, Le2
Gretton, Arthur3
-
7
-
-
4444252785
-
Multi-instance kernels
-
Morgan Kaufmann
-
Thomas Gartner, Peter A. Flach, Adam Kowalczyk, and Alex J. Smola. Multi-instance kernels. In In Proc. 19th International Conf. on Machine Learning, pp. 179–186. Morgan Kaufmann, 2002.
-
(2002)
Proc. 19th International Conf. on Machine Learning
, pp. 179-186
-
-
Gartner, Thomas1
Flach, Peter A.2
Kowalczyk, Adam3
Smola, Alex J.4
-
10
-
-
85012029160
-
-
arXiv preprint arXiv:1603.06277
-
Matthew J Johnson, David Duvenaud, Alexander B Wiltschko, Sandeep R Datta, and Ryan P Adams. Structured vaes: Composing probabilistic graphical models and variational autoencoders. arXiv preprint arXiv:1603.06277, 2016.
-
(2016)
Structured vaes: Composing probabilistic graphical models and variational autoencoders
-
-
Johnson, Matthew J1
Duvenaud, David2
Wiltschko, Alexander B3
Datta, Sandeep R4
Adams, Ryan P5
-
11
-
-
84994319786
-
-
arXiv preprint arXiv:1602.02282
-
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, and Ole Winther. How to train deep variational autoencoders and probabilistic ladder networks. arXiv preprint arXiv:1602.02282, 2016.
-
(2016)
How to train deep variational autoencoders and probabilistic ladder networks
-
-
Sønderby, Casper Kaae1
Raiko, Tapani2
Maaløe, Lars3
Sønderby, Søren Kaae4
Winther, Ole5
-
15
-
-
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, Brenden M1
Salakhutdinov, Ruslan2
Tenenbaum, Joshua B3
-
18
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick 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, Yann1
Bottou, Léon2
Bengio, Yoshua3
Haffner, Patrick4
-
21
-
-
84877782369
-
Learning from distributions via support measure machines
-
P. Bartlett, FCN. Pereira, CJC. Burges, L. Bottou, and KQ. Weinberger (eds)
-
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, and Bernhard Schlkopf. Learning from distributions via support measure machines. In P. Bartlett, FCN. Pereira, CJC. Burges, L. Bottou, and KQ. Weinberger (eds.), Advances in Neural Information Processing Systems 25, pp. 10–18. 2012.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 10-18
-
-
Muandet, Krikamol1
Fukumizu, Kenji2
Dinuzzo, Francesco3
Schlkopf, Bernhard4
-
26
-
-
84989321915
-
-
arXiv preprint arXiv:1603.05106
-
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, and Daan Wierstra. One-shot generalization in deep generative models. arXiv preprint arXiv:1603.05106, 2016.
-
(2016)
One-shot generalization in deep generative models
-
-
Rezende, Danilo Jimenez1
Mohamed, Shakir2
Danihelka, Ivo3
Gregor, Karol4
Wierstra, Daan5
-
28
-
-
85040308896
-
-
arXiv preprint arXiv:1605.06065
-
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. One-shot learning with memory-augmented neural networks. arXiv preprint arXiv:1605.06065, 2016.
-
(2016)
One-shot learning with memory-augmented neural networks
-
-
Santoro, Adam1
Bartunov, Sergey2
Botvinick, Matthew3
Wierstra, Daan4
Lillicrap, Timothy5
-
33
-
-
85026466682
-
-
arXiv preprint arXiv:1606.04080, b
-
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, and Daan Wierstra. Matching networks for one shot learning. arXiv preprint arXiv:1606.04080, 2016b.
-
(2016)
Matching networks for one shot learning
-
-
Vinyals, Oriol1
Blundell, Charles2
Lillicrap, Timothy3
Kavukcuoglu, Koray4
Wierstra, Daan5
-
34
-
-
80052899838
-
Face recognition in unconstrained videos with matched background similarity
-
IEEE
-
Lior Wolf, Tal Hassner, and Itay Maoz. Face recognition in unconstrained videos with matched background similarity. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp. 529–534. IEEE, 2011.
-
(2011)
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
, pp. 529-534
-
-
Wolf, Lior1
Hassner, Tal2
Maoz, Itay3
|