| Adam: A method for stochastic optimization D Kingma, J Ba International Conference on Learning Representation, 2015 | 10386 | 2015 |
| Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ... International conference on machine learning, 2048-2057, 2015 | 1824 | 2015 |
| Layer normalization JL Ba, JR Kiros, GE Hinton arXiv preprint arXiv:1607.06450, 2016 | 442 | 2016 |
| Do deep nets really need to be deep? J Ba, R Caruana Advances in neural information processing systems, 2654-2662, 2014 | 417 | 2014 |
| Multiple object recognition with visual attention J Ba, V Mnih, K Kavukcuoglu arXiv preprint arXiv:1412.7755, 2014 | 328 | 2014 |
| Predicting deep zero-shot convolutional neural networks using textual descriptions J Lei Ba, K Swersky, S Fidler Proceedings of the IEEE International Conference on Computer Vision, 4247-4255, 2015 | 108 | 2015 |
| Adaptive dropout for training deep neural networks J Ba, B Frey Advances in Neural Information Processing Systems, 3084-3092, 2013 | 107 | 2013 |
| Actor-mimic: Deep multitask and transfer reinforcement learning E Parisotto, JL Ba, R Salakhutdinov arXiv preprint arXiv:1511.06342, 2015 | 105 | 2015 |
| Generating images from captions with attention E Mansimov, E Parisotto, JL Ba, R Salakhutdinov arXiv preprint arXiv:1511.02793, 2015 | 93 | 2015 |
| Classifying and segmenting microscopy images with deep multiple instance learning OZ Kraus, JL Ba, BJ Frey Bioinformatics 32 (12), i52-i59, 2016 | 68 | 2016 |
| Scalable trust-region method for deep reinforcement learning using kronecker-factored approximation Y Wu, E Mansimov, RB Grosse, S Liao, J Ba Advances in neural information processing systems, 5279-5288, 2017 | 41 | 2017 |
| Learning wake-sleep recurrent attention models J Ba, RR Salakhutdinov, RB Grosse, BJ Frey Advances in Neural Information Processing Systems, 2593-2601, 2015 | 38 | 2015 |
| Using fast weights to attend to the recent past J Ba, GE Hinton, V Mnih, JZ Leibo, C Ionescu Advances in Neural Information Processing Systems, 4331-4339, 2016 | 33 | 2016 |
| Automated analysis of high‐content microscopy data with deep learning OZ Kraus, BT Grys, J Ba, Y Chong, BJ Frey, C Boone, BJ Andrews Molecular systems biology 13 (4), 924, 2017 | 28 | 2017 |
| Distributed second-order optimization using Kronecker-factored approximations J Ba, R Grosse, J Martens | 7 | 2016 |
| User-interfaces based on the water-hammer effect: water-hammer piano as an interactive percussion surface S Mann, R Janzen, J Huang, M Kelly, LJ Ba, A Chen Proceedings of the fifth international conference on Tangible, embedded, and …, 2011 | 7 | 2011 |
| Nervenet: Learning structured policy with graph neural networks T Wang, R Liao, J Ba, S Fidler | 4 | 2018 |
| " SQUEAKeys": A friction idiophone, for physical interaction with mobile devices S Mann, R Janzen, V Rampersad, J Huang, LJ Ba Games Entertainment Media Conference (GEM), 2015 IEEE, 1-4, 2015 | 2 | 2015 |
| Solving Approximate Wasserstein GANs to Stationarity M Sanjabi, J Ba, M Razaviyayn, JD Lee arXiv preprint arXiv:1802.08249, 2018 | 1 | 2018 |
| Kronecker-factored Curvature Approximations for Recurrent Neural Networks J Martens, J Ba, M Johnson | 1 | 2018 |
Ruslan SalakhutdinovAssociate Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
