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