More from the Same Authors

• 2020 : Building LEGO using Deep Generative Models of Graphs »
  Rylee Thompson · Graham Taylor · Terrance DeVries · Elahe Ghalebi
• 2021 : An Empirical Study of Neural Kernel Bandits »
  Michal Lisicki · Arash Afkanpour · Graham Taylor
• 2021 : DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software »
  Chuan-Yung Tsai · Graham Taylor
• 2021 : Neural Structure Mapping For Learning Abstract Visual Analogies »
  Shashank Shekhar · Graham Taylor
• 2021 Poster: A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models »
  Ibrahim Alabdulmohsin · Mario Lucic
• 2021 Poster: Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning »
  Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho
• 2021 Poster: MLP-Mixer: An all-MLP Architecture for Vision »
  Ilya Tolstikhin · Neil Houlsby · Alexander Kolesnikov · Lucas Beyer · Xiaohua Zhai · Thomas Unterthiner · Jessica Yung · Andreas Steiner · Daniel Keysers · Jakob Uszkoreit · Mario Lucic · Alexey Dosovitskiy
• 2021 Poster: Parameter Prediction for Unseen Deep Architectures »
  Boris Knyazev · Michal Drozdzal · Graham Taylor · Adriana Romero Soriano
• 2021 Poster: Revisiting the Calibration of Modern Neural Networks »
  Matthias Minderer · Josip Djolonga · Rob Romijnders · Frances Hubis · Xiaohua Zhai · Neil Houlsby · Dustin Tran · Mario Lucic
• 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
• 2017 : Poster spotlights »
  Hiroshi Kuwajima · Masayuki Tanaka · Qingkai Liang · Matthieu Komorowski · Fanyu Que · Thalita F Drumond · Aniruddh Raghu · Leo Anthony Celi · Christina Göpfert · Andrew Ross · Sarah Tan · Rich Caruana · Yin Lou · Devinder Kumar · Graham Taylor · Forough Poursabzi-Sangdeh · Jennifer Wortman Vaughan · Hanna Wallach
• 2015 : Learning Multi-scale Temporal Dynamics with Recurrent Neural Networks »
  Graham Taylor
• 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