Yichuan Charlie Tang
Yichuan Charlie Tang
Deep Learning Startup
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
A large-scale model of the functioning brain
C Eliasmith, TC Stewart, X Choo, T Bekolay, T DeWolf, Y Tang, ...
science 338 (6111), 1202-1205, 2012
8192012
Deep learning using linear support vector machines
Y Tang
arXiv preprint arXiv:1306.0239, 2013
8072013
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
International conference on neural information processing, 117-124, 2013
7412013
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
International conference on neural information processing, 117-124, 2013
7362013
Robust boltzmann machines for recognition and denoising
Y Tang, R Salakhutdinov, G Hinton
2012 IEEE conference on computer vision and pattern recognition, 2264-2271, 2012
1872012
Deep learning using support vector machines
Y Tang
CoRR, abs/1306.0239 2, 2013
1682013
Learning stochastic feedforward neural networks
C Tang, RR Salakhutdinov
Advances in Neural Information Processing Systems, 530-538, 2013
1262013
Deep networks for robust visual recognition
Y Tang, C Eliasmith
ICML, 2010
1182010
Learning generative models with visual attention
Y Tang, N Srivastava, R Salakhutdinov
arXiv preprint arXiv:1312.6110, 2013
872013
Deep lambertian networks
Y Tang, R Salakhutdinov, G Hinton
arXiv preprint arXiv:1206.6445, 2012
862012
Multiple futures prediction
YC Tang, R Salakhutdinov
arXiv preprint arXiv:1911.00997, 2019
842019
Deep mixtures of factor analysers
Y Tang, R Salakhutdinov, G Hinton
arXiv preprint arXiv:1206.4635, 2012
802012
Tensor analyzers
Y Tang, R Salakhutdinov, G Hinton
International conference on machine learning, 163-171, 2013
622013
A biologically realistic cleanup memory: Autoassociation in spiking neurons
TC Stewart, Y Tang, C Eliasmith
Cognitive Systems Research 12 (2), 84-92, 2011
452011
Multiresolution deep belief networks
Y Tang, A Mohamed
Artificial Intelligence and Statistics, 1203-1211, 2012
322012
Data normalization in the learning of restricted Boltzmann machines
Y Tang, I Sutskever
Department of Computer Science, University of Toronto, Technical Report UTML …, 2011
272011
Learning deep convolutional neural networks for x-ray protein crystallization image analysis
M Yann, Y Tang
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
232016
Methods and systems for artificial cognition
CD Eliasmith, TC Stewart, F Choo, TW Bekolay, T Crncich-DeWolf, ...
US Patent 9,904,889, 2018
222018
Method and apparatus for identifying regions of different content in an image
Y Tang, H Zhou
US Patent 7,840,071, 2010
202010
Worst cases policy gradients
YC Tang, J Zhang, R Salakhutdinov
arXiv preprint arXiv:1911.03618, 2019
162019
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Articles 1–20