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Towards Learning Universal Audio Representations

Nov 23, 2021
Luyu Wang, Pauline Luc, Yan Wu, Adria Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, Joao Carreira, Aaron van den Oord

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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: 

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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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