| 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 | 2228 | 2013 |
| Deep Learning using Linear Support Vector Machines Y Tang arXiv preprint arXiv:1306.0239, 2013 | 1296 | 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 | 1074 | 2012 |
| Multiple futures prediction C Tang, RR Salakhutdinov Advances in neural information processing systems 32, 2019 | 398 | 2019 |
| Deep learning using support vector machines Y Tang CoRR, abs/1306.0239 2 (1), 2013 | 253 | 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 | 225 | 2012 |
| Learning generative models with visual attention C Tang, N Srivastava, RR Salakhutdinov Advances in Neural Information Processing Systems 27, 2014 | 192* | 2014 |
| Learning stochastic feedforward neural networks C Tang, RR Salakhutdinov Advances in Neural Information Processing Systems 26, 2013 | 171 | 2013 |
| Deep networks for robust visual recognition Y Tang, C Eliasmith Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 134 | 2010 |
| Deep lambertian networks Y Tang, R Salakhutdinov, G Hinton arXiv preprint arXiv:1206.6445, 2012 | 99 | 2012 |
| Worst cases policy gradients YC Tang, J Zhang, R Salakhutdinov arXiv preprint arXiv:1911.03618, 2019 | 96 | 2019 |
| Deep mixtures of factor analysers Y Tang, R Salakhutdinov, G Hinton arXiv preprint arXiv:1206.4635, 2012 | 91 | 2012 |
| 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 | 62 | 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 |
| 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 | 36 | 2016 |
| 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 | 35 | 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 | 34 | 2011 |
| Towards learning multi-agent negotiations via self-play Y Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 30 | 2019 |
| Multiresolution deep belief networks Y Tang, A Mohamed Artificial Intelligence and Statistics, 1203-1211, 2012 | 30 | 2012 |
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMU在 cs.cmu.edu 的电子邮件经过验证
