NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (18)

cs.CV2016

Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression

David Rim, Sina Honari, Md Kamrul Hasan +1

cs.LG2019

Towards Deep Conversational Recommendations

Raymond Li, Samira Kahou, Hannes Schulz +3

cs.CV2016

The Importance of Skip Connections in Biomedical Image Segmentation

Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand +2

cs.CY2019

Towards Standardization of Data Licenses: The Montreal Data License

Misha Benjamin, Paul Gagnon, Negar Rostamzadeh +3

cs.LG2018

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding

Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk +4

stat.ML2018

Fashion-Gen: The Generative Fashion Dataset and Challenge

Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet +4

cs.LG2018

Twin Networks: Matching the Future for Sequence Generation

Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni +3

stat.ML2017

ACtuAL: Actor-Critic Under Adversarial Learning

Anirudh Goyal, Nan Rosemary Ke, Alex Lamb +4

cs.HC2018

A Survey of Mobile Computing for the Visually Impaired

Martin Weiss, Margaux Luck, Roger Girgis +2

cs.NE2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

David Krueger, Tegan Maharaj, János Kramár +7

cs.CV2016

Delving Deeper into Convolutional Networks for Learning Video Representations

Nicolas Ballas, Li Yao, Chris Pal +1

cs.AI2017

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks

Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk +4

cs.CV2018

Liver lesion segmentation informed by joint liver segmentation

Eugene Vorontsov, An Tang, Chris Pal +1

cs.LG2017

On orthogonality and learning recurrent networks with long term dependencies

Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury +1

stat.ML2018

Focused Hierarchical RNNs for Conditional Sequence Processing

Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni +6

cs.CV2017

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation

Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov +6

cs.CV2019

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation

Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou +4

cs.CV2016

Brain Tumor Segmentation with Deep Neural Networks

Mohammad Havaei, Axel Davy, David Warde-Farley +6