I'm a fourth year PhD student in the Machine Learning group at the University of Toronto. I spend most of my research time thinking about learning algorithms for deep neural networks under the supervision of Geoffrey Hinton. My master degree was under Brendan Frey and Ruslan Salakhutdinov. I also did my undergrad at the University of Toronto.

When I was not around Toronto, I did internships at Google Deepmind, Microsoft Research. I am very lucky to have received Facebook Graduate Fellowship 2016 in machine learning. My Google scholar page.
-- contact me: jimmy at psi.toronto.edu

Research



Automated Analysis of High‐content Microscopy Data with Deep Learning, Kraus, O., Grys, B., Ba, J., Chong, Y., Frey, B., Boone, C. and Andrews, B., Molecular Systems Biology, 2017.

Distrubted Second-order Optimization using Kronecker-factored Approximations, Ba, J., Grosse, R. and Martens, J., ICLR, 2017.

Layer Normalization, Ba, J., Kiros, J. R. and Hinton, G., arXiv preprint arXiv:1607.06450, 2016.

Using Fast Weight to Attend to the Recent Past, Ba, J., Hinton, G., Mnih, V., Leibo, J. and Ionescu, C., NIPS 2016.

Classifying Microscopy Images Using Convolutional Multiple Instance Learning, Kraus, O., Ba, J. and Frey, B., Bioinformatics 32(12) 2016.

Generating Images From Captions with Attention, Mansim, E., Parisotto, E., Ba, J. and Salakhutdinov, R., ICLR 2016.

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning, Parisotto, E., Ba, J. and Salakhutdinov, R., ICLR 2016.

Learning Wake-Sleep Recurrent Attention Models, Ba, J., Grosse, R., Salakhutdinov, R. and Frey, B., NIPS 2015.

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions, Ba, J., Swersky, K., Fidler, S. and Salakhutdinov, R., ICCV 2015.

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention, Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R. and Bengio, Y., ICML 2015.

Adam: A Method for Stochastic Optimization, Kingma D. and Ba, J., ICLR 2015.

Multiple Object Recognition with Visual Attention, Ba, J., Mnih, V. and Kavukcuoglu K., ICLR 2015.

Do deep nets really need to be deep?, Ba, J. and Caruana, R., NIPS 2014.

Adaptive Dropout for Training Deep Neural Networks, Ba, J. and Frey, B., NIPS 2013.