Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 1948 | 2013 |
Deep learning using linear support vector machines Y Tang arXiv preprint arXiv:1306.0239, 2013 | 1245 | 2013 |
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 | 1036 | 2012 |
Multiple futures prediction C Tang, RR Salakhutdinov Advances in neural information processing systems 32, 2019 | 361 | 2019 |
Deep learning using support vector machines Y Tang CoRR, abs/1306.0239 2 (1), 2013 | 249 | 2013 |
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 | 222 | 2012 |
Learning generative models with visual attention C Tang, N Srivastava, RR Salakhutdinov Advances in Neural Information Processing Systems 27, 2014 | 173* | 2014 |
Learning stochastic feedforward neural networks C Tang, RR Salakhutdinov Advances in Neural Information Processing Systems 26, 2013 | 163 | 2013 |
Deep networks for robust visual recognition Y Tang, C Eliasmith Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 132 | 2010 |
Deep lambertian networks Y Tang, R Salakhutdinov, G Hinton arXiv preprint arXiv:1206.6445, 2012 | 98 | 2012 |
Deep mixtures of factor analysers Y Tang, R Salakhutdinov, G Hinton arXiv preprint arXiv:1206.4635, 2012 | 90 | 2012 |
Worst cases policy gradients YC Tang, J Zhang, R Salakhutdinov arXiv preprint arXiv:1911.03618, 2019 | 86 | 2019 |
Tensor analyzers Y Tang, R Salakhutdinov, G Hinton International conference on machine learning, 163-171, 2013 | 72 | 2013 |
A biologically realistic cleanup memory: Autoassociation in spiking neurons TC Stewart, Y Tang, C Eliasmith Cognitive Systems Research 12 (2), 84-92, 2011 | 56 | 2011 |
Methods and systems for artificial cognition CD Eliasmith, TC Stewart, FX Choo, TW Bekolay, T Crncich-DeWolf, ... US Patent 9,904,889, 2018 | 36 | 2018 |
Partially shared neural networks for multiple tasks R Hu, K Garg, H Goh, R Salakhutdinov, N Srivastava, Y Tang US Patent App. 15/828,399, 2018 | 34 | 2018 |
Data normalization in the learning of restricted Boltzmann machines Y Tang, I Sutskever Department of Computer Science, University of Toronto, Technical Report UTML …, 2011 | 33 | 2011 |
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 | 32 | 2016 |
Multiresolution deep belief networks Y Tang, A Mohamed Artificial Intelligence and Statistics, 1203-1211, 2012 | 31 | 2012 |
Towards learning multi-agent negotiations via self-play Y Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |