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Session
Spotlight Session 1
Rob Fergus
Mon Dec 12 09:40 AM -- 10:00 AM (PST) @
Author Information
Rob Fergus (DeepMind / NYU)
Rob Fergus is an Associate Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University. He received a Masters in Electrical Engineering with Prof. Pietro Perona at Caltech, before completing a PhD with Prof. Andrew Zisserman at the University of Oxford in 2005. Before coming to NYU, he spent two years as a post-doc in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. William Freeman. He has received several awards including a CVPR best paper prize, a Sloan Fellowship & NSF Career award and the IEEE Longuet-Higgins prize.
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2021 : Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning »
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2022 : Collaborating with language models for embodied reasoning »
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2022 : Collaborating with language models for embodied reasoning »
Ishita Dasgupta · Christine Kaeser-Chen · Kenneth Marino · Arun Ahuja · Sheila Babayan · Felix Hill · Rob Fergus -
2022 Poster: Learning to Navigate Wikipedia by Taking Random Walks »
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2021 Poster: Automatic Data Augmentation for Generalization in Reinforcement Learning »
Roberta Raileanu · Maxwell Goldstein · Denis Yarats · Ilya Kostrikov · Rob Fergus -
2020 : Contributed Talk - Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences »
Alexander Rives · Siddharth Goyal · Joshua Meier · Zeming Lin · Demi Guo · Myle Ott · Larry Zitnick · Rob Fergus -
2016 Poster: Learning Multiagent Communication with Backpropagation »
Sainbayar Sukhbaatar · arthur szlam · Rob Fergus -
2014 Poster: Depth Map Prediction from a Single Image using a Multi-Scale Deep Network »
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2014 Poster: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation »
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2014 Spotlight: Depth Map Prediction from a Single Image using a Multi-Scale Deep Network »
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2014 Poster: Learning to Discover Efficient Mathematical Identities »
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2014 Spotlight: Learning to Discover Efficient Mathematical Identities »
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2013 Tutorial: Deep Learning for Computer Vision »
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2011 Workshop: Machine Learning meets Computational Photography »
Michael Hirsch · Stefan Harmeling · Rob Fergus · Peyman Milanfar -
2011 Poster: Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines »
Matthew D Zeiler · Graham Taylor · Leonid Sigal · Iain Matthews · Rob Fergus -
2010 Session: Oral Session 17 »
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2010 Poster: Pose-Sensitive Embedding by Nonlinear NCA Regression »
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2009 Poster: Fast Image Deconvolution using Hyper-Laplacian Priors »
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2009 Spotlight: Fast Image Deconvolution using Hyper-Laplacian Priors »
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2009 Poster: Semi-Supervised Learning in Gigantic Image Collections »
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2009 Oral: Semi-Supervised Learning in Gigantic Image Collections »
Rob Fergus · Yair Weiss · Antonio Torralba -
2008 Poster: Spectral Hashing »
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2007 Spotlight: Object Recognition by Scene Alignment »
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2007 Poster: Object Recognition by Scene Alignment »
Bryan C Russell · Antonio Torralba · Ce Liu · Rob Fergus · William Freeman