Jimmy Ba
TitleCited byYear
Adam: A method for stochastic optimization
D Kingma, J Ba
International Conference on Learning Representation, 2015
Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhutdinov, R Zemel, ...
arXiv preprint arXiv:1502.03044, 2015
Layer normalization
J Lei Ba, JR Kiros, GE Hinton
arXiv preprint arXiv:1607.06450, 2016
Do deep nets really need to be deep?
J Ba, R Caruana
Advances in neural information processing systems, 2654-2662, 2014
Multiple object recognition with visual attention
J Ba, V Mnih, K Kavukcuoglu
arXiv preprint arXiv:1412.7755, 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
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.06342, 2015
Adaptive dropout for training deep neural networks
J Ba, B Frey
Advances in Neural Information Processing Systems, 3084-3092, 2013
Generating images from captions with attention
E Mansimov, E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.02793, 2015
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
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 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
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
Learning wake-sleep recurrent attention models
J Ba, RR Salakhutdinov, RB Grosse, BJ Frey
Advances in Neural Information Processing Systems, 2593-2601, 2015
Distributed second-order optimization using kronecker-factored approximations
J Ba, R Grosse, J Martens
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
On the convergence and robustness of training GANs with regularized optimal transport
M Sanjabi, J Ba, M Razaviyayn, JD Lee
Advances in Neural Information Processing Systems, 7091-7101, 2018
Flipout: Efficient pseudo-independent weight perturbations on mini-batches
Y Wen, P Vicol, J Ba, D Tran, R Grosse
arXiv preprint arXiv:1803.04386, 2018
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
Kronecker-factored curvature approximations for recurrent neural networks
J Martens, J Ba, M Johnson
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Articles 1–20