papers
Publications (16)
cs.LG2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
cs.LG2015
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Roger Grosse, Ruslan Salakhutdinov +1
cs.LG2019
Exploring Model-based Planning with Policy Networks
Tingwu Wang, Jimmy Ba
stat.ML2016
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
cs.LG2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Tingwu Wang, Yuhao Zhou, Sanja Fidler +1
cs.LG2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu, Elman Mansimov, Shun Liao +2
cs.LG2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba
cs.LG2015
Multiple Object Recognition with Visual Attention
Jimmy Ba, Volodymyr Mnih, Koray Kavukcuoglu
cs.LG2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn +1
cs.LG2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen, Paul Vicol, Jimmy Ba +2
cs.LG2019
DOM-Q-NET: Grounded RL on Structured Language
Sheng Jia, Jamie Kiros, Jimmy Ba
cs.LG2018
Reversible Recurrent Neural Networks
Matthew MacKay, Paul Vicol, Jimmy Ba +1
cs.LG2019
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang, Xuchan Bao, Ignasi Clavera +7
cs.LG2019
Graph Normalizing Flows
Jenny Liu, Aviral Kumar, Jimmy Ba +2
cs.LG2016
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros +5
cs.LG2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Harris Chan, Yuhuai Wu, Jamie Kiros +2