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Perceiver IO: A General Architecture for Structured Inputs & Outputs


Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error


May 27, 2021
Stanislav Fort, Andrew Brock, Razvan Pascanu, Soham De, Samuel L. Smith


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Skillful Precipitation Nowcasting using Deep Generative Models of Radar


Apr 02, 2021
Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

* 46 pages, 17 figures, 2 tables 

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Perceiver: General Perception with Iterative Attention


Mar 04, 2021
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, Joao Carreira


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High-Performance Large-Scale Image Recognition Without Normalization


Feb 11, 2021
Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan


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Characterizing signal propagation to close the performance gap in unnormalized ResNets


Jan 27, 2021
Andrew Brock, Soham De, Samuel L. Smith

* Published as a conference paper at ICLR 2021 

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Training Generative Adversarial Networks by Solving Ordinary Differential Equations


Oct 28, 2020
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli


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BYOL works even without batch statistics


Oct 20, 2020
Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko


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Evolving Normalization-Activation Layers


Apr 28, 2020
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le


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Large Scale GAN Training for High Fidelity Natural Image Synthesis


Sep 28, 2018
Andrew Brock, Jeff Donahue, Karen Simonyan


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Implicit Weight Uncertainty in Neural Networks


May 25, 2018
Nick Pawlowski, Andrew Brock, Matthew C. H. Lee, Martin Rajchl, Ben Glocker

* Submitted to NIPS 2018, under review 

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SMASH: One-Shot Model Architecture Search through HyperNetworks


Aug 17, 2017
Andrew Brock, Theodore Lim, J. M. Ritchie, Nick Weston


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FreezeOut: Accelerate Training by Progressively Freezing Layers


Jun 18, 2017
Andrew Brock, Theodore Lim, J. M. Ritchie, Nick Weston

* Extended Abstract 

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Neural Photo Editing with Introspective Adversarial Networks


Feb 06, 2017
Andrew Brock, Theodore Lim, J. M. Ritchie, Nick Weston

* 10 pages, 7 figures, 3 tables 

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Generative and Discriminative Voxel Modeling with Convolutional Neural Networks


Aug 16, 2016
Andrew Brock, Theodore Lim, J. M. Ritchie, Nick Weston

* 9 pages, 5 figures, 2 tables 

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