Jimmy Ba
TitleCited byYear
Adam: A method for stochastic optimization
D Kingma, J Ba
International Conference on Learning Representation, 2015
287352015
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
36942015
Layer normalization
J Ba, JR Kiros, GE Hinton
arXiv preprint arXiv:1607.06450, 2016
10462016
Do deep nets really need to be deep?
J Ba, R Caruana
Advances in neural information processing systems, 2654-2662, 2014
7412014
Multiple object recognition with visual attention
J Ba, V Mnih, K Kavukcuoglu
International Conference on Learning Representation, 2014
5492014
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
2082015
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.06342, 2015
1962015
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
1672017
Generating images from captions with attention
E Mansimov, E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.02793, 2015
1622015
Adaptive dropout for training deep neural networks
J Ba, B Frey
Advances in Neural Information Processing Systems, 3084-3092, 2013
1592013
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
1482016
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), 2017
802017
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
692016
Learning wake-sleep recurrent attention models
J Ba, RR Salakhutdinov, RB Grosse, BJ Frey
Advances in Neural Information Processing Systems, 2593-2601, 2015
472015
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
International Conference on Learning Representation, 2018
332018
Adam: A method for stochastic optimization. arXiv 2014
DP Kingma, JL Ba
arXiv preprint arXiv:1412.6980, 2014
272014
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
24*2018
Distributed second-order optimization using kronecker-factored approximations
J Ba, R Grosse, J Martens
International Conference on Learning Representation, 2017
222017
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
202018
Reversible recurrent neural networks
M MacKay, P Vicol, J Ba, RB Grosse
Advances in Neural Information Processing Systems, 9029-9040, 2018
92018
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Articles 1–20