-
3
-
-
80053442434
-
The importance of encoding versus training with sparse coding and vector quantization
-
A. Coates and A. Ng. The importance of encoding versus training with sparse coding and vector quantization. In International Conference on Machine Learning (ICML), 2011.
-
(2011)
International Conference on Machine Learning (ICML)
-
-
Coates, A.1
Ng, A.2
-
4
-
-
84877760312
-
Large scale distributed deep networks
-
NIPS
-
Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, MarcAurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, and Andrew Y. Ng. Large scale distributed deep networks. In Advances in Neural Information Processing Systems, NIPS, 2012.
-
(2012)
Advances in Neural Information Processing Systems
-
-
Dean, J.1
Corrado, G.S.2
Monga, R.3
Chen, K.4
Devin, M.5
Le, Q.V.6
Mao, M.Z.7
Ranzato, M.8
Senior, A.9
Tucker, P.10
Yang, K.11
Ng, A.Y.12
-
5
-
-
84887378604
-
Fast, accurate detection of 100,000 object classes on a single machine
-
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, and Jay Yagnik. Fast, accurate detection of 100,000 object classes on a single machine. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
-
(2013)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Dean, T.1
Ruzon, M.2
Segal, M.3
Shlens, J.4
Vijayanarasimhan, S.5
Yagnik, J.6
-
6
-
-
80052915062
-
-
Jia Deng, Alex Berg, Sanjeev Satheesh, Hao Su, Aditya Khosla, and Fei-Fei Li. Imagenet large scale visual recognition challenge 2012.
-
(2012)
Imagenet Large Scale Visual Recognition Challenge
-
-
Deng, J.1
Berg, A.2
Satheesh, S.3
Su, H.4
Khosla, A.5
Li, F.-F.6
-
7
-
-
72249100259
-
Imagenet: A large-scale hierarchical image database
-
Jia Deng,Wei Dong, Richard Socher, Lijia Li, Kai Li, and Li Fei-fei. Imagenet: A large-scale hierarchical image database. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.4
Li, K.5
Fei-Fei, L.6
-
9
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
J. C. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121-2159, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.C.1
Hazan, E.2
Singer, Y.3
-
10
-
-
84867720412
-
-
arXiv preprint arXiv1207.0580
-
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R. Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
13
-
-
85083951332
-
Efficient estimation of word representations in vector space
-
Scottsdale, Arizona, USA
-
Tomas Mikolov, Kai Chen, Greg S. Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. In International Conference on Learning Representations (ICLR), Scottsdale, Arizona, USA, 2013.
-
(2013)
International Conference on Learning Representations (ICLR)
-
-
Mikolov, T.1
Chen, K.2
Corrado, G.S.3
Dean, J.4
-
14
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, NIPS, 2013.
-
(2013)
Advances in Neural Information Processing Systems, NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.4
Dean, J.5
-
15
-
-
84898979068
-
-
arXiv (to be submitted)
-
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Jonathon Shlens, Andrea Frome, Greg S. Corrado, and Jeffrey Dean. Zero-shot learning by convex combination of semantic embeddings. arXiv (to be submitted), 2013.
-
(2013)
Zero-shot Learning by Convex Combination of Semantic Embeddings
-
-
Norouzi, M.1
Mikolov, T.2
Bengio, S.3
Shlens, J.4
Frome, A.5
Corrado, G.S.6
Dean, J.7
-
16
-
-
80053456996
-
Mitchell. Zero-shot learning with semantic output codes
-
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, and Tom M. Mitchell. Zero-shot learning with semantic output codes. In Advances in Neural Information Processing Systems, NIPS, 2009.
-
(2009)
Advances in Neural Information Processing Systems, NIPS
-
-
Palatucci, M.1
Pomerleau, D.2
Hinton, G.E.3
Tom, M.4
-
18
-
-
85083954315
-
Zero-shot learning through cross-modal transfer
-
Scottsdale, Arizona, USA
-
R. Socher, M. Ganjoo, H. Sridhar, O. Bastani, C. D. Manning, and A. Y. Ng. Zero-shot learning through cross-modal transfer. In International Conference on Learning Representations (ICLR), Scottsdale, Arizona, USA, 2013.
-
(2013)
International Conference on Learning Representations (ICLR)
-
-
Socher, R.1
Ganjoo, M.2
Sridhar, H.3
Bastani, O.4
Manning, C.D.5
Ng, A.Y.6
-
20
-
-
77955654853
-
Large scale image annotation: Learning to rank with joint word -image embeddings
-
Jason Weston, Samy Bengio, and Nicolas Usunier. Large scale image annotation: learning to rank with joint word-image embeddings. Machine Learning, 81(1):21-35, 2010.
-
(2010)
Machine Learning
, vol.81
, Issue.1
, pp. 21-35
-
-
Weston, J.1
Bengio, S.2
Usunier, N.3
|