| Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude T Tieleman, G Hinton COURSERA: Neural networks for machine learning 4 (2), 26-31, 2012 | 6583 | 2012 |
| Training restricted Boltzmann machines using approximations to the likelihood gradient T Tieleman Proceedings of the 25th international conference on Machine learning, 1064-1071, 2008 | 1173 | 2008 |
| Lecture 6.5-rmsprop, coursera: Neural networks for machine learning T Tieleman, G Hinton University of Toronto, Technical Report 6, 2012 | 571 | 2012 |
| Using fast weights to improve persistent contrastive divergence T Tieleman, G Hinton Proceedings of the 26th annual international conference on machine learning …, 2009 | 397 | 2009 |
| Rmsprop: Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning T Tieleman, G Hinton COURSERA Neural Networks Mach. Learn 17, 2012 | 185 | 2012 |
| Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning T Tieleman, G Hinton Technical report, 2017 | 158 | 2017 |
| On the convergence properties of contrastive divergence I Sutskever, T Tieleman Proceedings of the thirteenth international conference on artificial …, 2010 | 139 | 2010 |
| RMSprop gradient optimization T Tieleman, G Hinton URL http://www. cs. toronto. edu/tijmen/csc321/slides/lecture_slides_lec6. pdf, 2014 | 64 | 2014 |
| Gnumpy: an easy way to use GPU boards in Python T Tieleman Department of Computer Science, University of Toronto, 2010 | 57 | 2010 |
| Optimizing neural networks that generate images T Tieleman University of Toronto (Canada), 2014 | 44 | 2014 |
| Batch-based neural network system T Merrill, T Tieleman, S Sanyal, A Hebbar US Patent App. 15/149,990, 2016 | 40 | 2016 |
| Does the brain do inverse graphics G Hinton, A Krizhevsky, N Jaitly, T Tieleman, Y Tang Brain and Cognitive Sciences Fall Colloquium 2, 2012 | 18 | 2012 |
| Cloud-based neural networks T Merrill, S Sanyal, LH Cooke, T Tieleman, A Hebbar, DS Sanders US Patent App. 14/713,529, 2016 | 14 | 2016 |
| Scalable neural network system T Tieleman, S Sanyal, T Merrill, A Hebbar US Patent App. 15/160,542, 2016 | 7 | 2016 |
| Autonomous emergency steering using deep reinforcement learning for advanced driver assistance system M Yoshimura, G Fujimoto, A Kaushik, BK Padi, M Dennison, I Sood, ... 2020 59th Annual Conference of the Society of Instrument and Control …, 2020 | 5 | 2020 |
| Some investigations into energy-based models T Tieleman University of Toronto, 2007 | 4 | 2007 |
| Method and apparatus for reinforcement learning training sessions with consideration of resource costing and resource utilization S Sanyal, A Hebbar, APK Muneer, A Kaushik, BK Padi, J Bédorf, ... US Patent 11,748,611, 2023 | 3 | 2023 |
| Copyright (c) 2007 by Tijmen Tieleman T Tieleman University of Toronto, 2007 | | 2007 |
| ECE1724S Programming Massively Parallel Graphics Processors J Pazzelli, T Tieleman | | |
