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Yichuan Charlie Tang
Yichuan Charlie Tang
DE Shaw
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
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
11522013
Deep learning using linear support vector machines
Y Tang
arXiv preprint arXiv:1306.0239, 2013
9732013
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
9032012
Deep learning using support vector machines
Y Tang
CoRR, abs/1306.0239 2, 1, 2013
2042013
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
2032012
Multiple futures prediction
C Tang, RR Salakhutdinov
Advances in Neural Information Processing Systems 32, 2019
1982019
Learning stochastic feedforward neural networks
C Tang, RR Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013
1422013
Learning generative models with visual attention
C Tang, N Srivastava, RR Salakhutdinov
Advances in Neural Information Processing Systems 27, 2014
124*2014
Deep networks for robust visual recognition
Y Tang, C Eliasmith
ICML, 2010
1212010
Deep lambertian networks
Y Tang, R Salakhutdinov, G Hinton
arXiv preprint arXiv:1206.6445, 2012
942012
Deep mixtures of factor analysers
Y Tang, R Salakhutdinov, G Hinton
arXiv preprint arXiv:1206.4635, 2012
852012
Tensor analyzers
Y Tang, R Salakhutdinov, G Hinton
International conference on machine learning, 163-171, 2013
652013
A biologically realistic cleanup memory: Autoassociation in spiking neurons
TC Stewart, Y Tang, C Eliasmith
Cognitive Systems Research 12 (2), 84-92, 2011
482011
Worst cases policy gradients
YC Tang, J Zhang, R Salakhutdinov
arXiv preprint arXiv:1911.03618, 2019
442019
Multiresolution deep belief networks
Y Tang, A Mohamed
Artificial Intelligence and Statistics, 1203-1211, 2012
312012
Data normalization in the learning of restricted Boltzmann machines
Y Tang, I Sutskever
Department of Computer Science, University of Toronto, Technical Report UTML …, 2011
312011
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
262016
Methods and systems for artificial cognition
CD Eliasmith, TC Stewart, FX Choo, TW Bekolay, T Crncich-DeWolf, ...
US Patent 9,904,889, 2018
242018
Method and apparatus for identifying regions of different content in an image
Y Tang, H Zhou
US Patent 7,840,071, 2010
222010
Towards learning multi-agent negotiations via self-play
Y Tang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
162019
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