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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
1731382015
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
118942015
Layer normalization
J Ba, JR Kiros, GE Hinton
Advances in NIPS 2016 Deep Learning Symposium, arXiv preprint arXiv:1607.06450, 2016
107322016
Do deep nets really need to be deep?
J Ba, R Caruana
Advances in neural information processing systems, 2654-2662, 2014
24672014
Adam: A method for stochastic optimization. arXiv. doi: 10.48550
DP Kingma, J Ba
arXiv preprint ARXIV.1412.6980, 2014
13822014
Multiple object recognition with visual attention
J Ba, V Mnih, K Kavukcuoglu
International Conference on Learning Representations, 2015
12532015
Dream to Control: Learning Behaviors by Latent Imagination
D Hafner, T Lillicrap, J Ba, M Norouzi
International Conference on Learning Representations, 2019
10172019
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
7752017
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
6792019
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
6532016
Mastering atari with discrete world models
D Hafner, T Lillicrap, M Norouzi, J Ba
International Conference on Learning Representations, 2020
6102020
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
4962015
Generating images from captions with attention
E Mansimov, E Parisotto, J Ba, R Salakhutdinov
International Conference on Learning Representations, arXiv preprint arXiv …, 2016
4832016
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
4732016
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
449*2019
Adaptive dropout for training deep neural networks
J Ba, B Frey
Advances in neural information processing systems, 3084-3092, 2013
4492013
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
Y Wen, D Tran, J Ba
International Conference on Learning Representations, https://openreview.net …, 2020
3802020
Large language models are human-level prompt engineers
Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis, H Chan, J Ba
International Conference on Learning Representations, 2022
3512022
Adam: a method for stochastic optimization. arXiv preprint (2014)
DP Kingma, J Ba
arXiv preprint arXiv:1412.6980 5, 2014
3332014
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
3202018
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