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Jimmy Ba
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Year
Adam: A method for stochastic optimization
D Kingma, J Ba
International Conference on Learning Representations, 2015
1127642015
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
91372015
Layer normalization
J Ba, JR Kiros, GE Hinton
Advances in NIPS 2016 Deep Learning Symposium, arXiv preprint arXiv:1607.06450, 2016
54892016
A method for stochastic optimization. arXiv 2014
DP Kingma, JA Ba, J Adam
arXiv preprint arXiv:1412.6980 106, 2020
24732020
Do deep nets really need to be deep?
J Ba, R Caruana
Advances in neural information processing systems, 2654-2662, 2014
18672014
Adam: a method for stochastic optimization (2014)
DP Kingma, J Ba
arXiv preprint arXiv:1412.6980 22, 2014
11722014
Multiple object recognition with visual attention
J Ba, V Mnih, K Kavukcuoglu
International Conference on Learning Representations, 2015
10632015
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
5862017
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
4912016
Dream to Control: Learning Behaviors by Latent Imagination
D Hafner, T Lillicrap, J Ba, M Norouzi
International Conference on Learning Representations, 2019
4592019
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
4122019
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
4022015
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
3722016
Adam: A method for stochastic optimization. arXiv: 14126980
DP Kingma, J Ba
370*2014
Adaptive dropout for training deep neural networks
J Ba, B Frey
Advances in neural information processing systems, 3084-3092, 2013
3572013
Generating images from captions with attention
E Mansimov, E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
3252016
Adam: a method for stochastic optimization. arXiv preprint (2014)
DP Kingma, J Ba
arXiv preprint arXiv:1412.6980 2, 2014
2812014
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
267*2019
Adam: A method for stochastic gradient descent
DP Kingma, JL Ba
ICLR: International Conference on Learning Representations, 1-15, 2015
2382015
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
2252017
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