Timezone: »
Session
Orals & Spotlights Track 08: Deep Learning
Graham Taylor · Mario Lucic
Tue Dec 08 06:00 AM -- 09:00 AM (PST) @ None
Author Information
Graham Taylor (University of Guelph)
Mario Lucic (Google Brain)
More from the Same Authors
-
2020 Poster: Instance Selection for GANs »
Terrance DeVries · Michal Drozdzal · Graham Taylor -
2019 Poster: Understanding Attention and Generalization in Graph Neural Networks »
Boris Knyazev · Graham Taylor · Mohamed Amer -
2018 Poster: Deep Generative Models for Distribution-Preserving Lossy Compression »
Michael Tschannen · Eirikur Agustsson · Mario Lucic -
2018 Poster: Assessing Generative Models via Precision and Recall »
Mehdi S. M. Sajjadi · Olivier Bachem · Mario Lucic · Olivier Bousquet · Sylvain Gelly -
2018 Poster: Are GANs Created Equal? A Large-Scale Study »
Mario Lucic · Karol Kurach · Marcin Michalski · Sylvain Gelly · Olivier Bousquet -
2011 Workshop: Big Learning: Algorithms, Systems, and Tools for Learning at Scale »
Joseph E Gonzalez · Sameer Singh · Graham Taylor · James Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alexander Smola · Michael Jordan · Sugato Basu -
2011 Poster: Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines »
Matthew D Zeiler · Graham Taylor · Leonid Sigal · Iain Matthews · Rob Fergus -
2010 Poster: Pose-Sensitive Embedding by Nonlinear NCA Regression »
Graham Taylor · Rob Fergus · George Williams · Ian Spiro · Christoph Bregler -
2008 Poster: The Recurrent Temporal Restricted Boltzmann Machine »
Ilya Sutskever · Geoffrey E Hinton · Graham Taylor -
2006 Poster: Modeling Human Motion Using Binary Latent Variables »
Graham Taylor · Geoffrey E Hinton · Sam T Roweis -
2006 Spotlight: Modeling Human Motion Using Binary Latent Variables »
Graham Taylor · Geoffrey E Hinton · Sam T Roweis