Jimmy Ba
Title
Cited by
Cited by
Year
Adam: A method for stochastic optimization
D Kingma, J Ba
International Conference on Learning Representations, 2015
516922015
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
55222015
Layer normalization
J Ba, JR Kiros, GE Hinton
Advances in NIPS 2016 Deep Learning Symposium, arXiv preprint arXiv:1607.06450, 2016
20382016
Do deep nets really need to be deep?
J Ba, R Caruana
Advances in neural information processing systems, 2654-2662, 2014
11162014
Multiple object recognition with visual attention
J Ba, V Mnih, K Kavukcuoglu
International Conference on Learning Representations, 2015
7192015
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
2982017
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
2972016
Predicting deep zero-shot convolutional neural networks using textual descriptions
J Ba, K Swersky, S Fidler
Proceedings of the IEEE International Conference on Computer Vision, 4247-4255, 2015
2742015
Generating images from captions with attention
E Mansimov, E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
2272016
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
2222016
Adaptive dropout for training deep neural networks
J Ba, B Frey
Advances in neural information processing systems, 3084-3092, 2013
2182013
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
1242017
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
982016
Benchmarking Model-Based Reinforcement Learning
T Wang, X Bao, I Clavera, J Hoang, Y Wen, E Langlois, S Zhang, G Zhang, ...
arXiv preprint arXiv:1907.02057, 2019
73*2019
Lookahead Optimizer: k steps forward, 1 step back
M Zhang, J Lucas, GE Hinton, J Ba
Advances in Neural Information Processing Systems, 9593-9604, 2019
722019
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
International Conference on Learning Representations, 2018
622018
Flipout: Efficient pseudo-independent weight perturbations on mini-batches
Y Wen, P Vicol, J Ba, D Tran, R Grosse
International Conference on Learning Representations, 2018
562018
Adam: A method for stochastic gradient descent
DP Kingma, JL Ba
ICLR: International Conference on Learning Representations, 2015
562015
Adam: a method for stochastic optimization. CoRR
DP Kingma, J Ba
arXiv preprint arXiv:1412.6980, 2014
532014
Learning wake-sleep recurrent attention models
J Ba, RR Salakhutdinov, RB Grosse, BJ Frey
Advances in Neural Information Processing Systems, 2593-2601, 2015
522015
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Articles 1–20