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Machine Translation Decoding beyond Beam Search


Apr 12, 2021
Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals

* 23 pages 

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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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Variable-rate discrete representation learning


Mar 10, 2021
Sander Dieleman, Charlie Nash, Jesse Engel, Karen Simonyan

* 26 pages, 15 figures, samples can be found at https://vdrl.github.io/ 

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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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AlgebraNets


Jun 16, 2020
Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen


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A Practical Sparse Approximation for Real Time Recurrent Learning


Jun 12, 2020
Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves


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End-to-End Adversarial Text-to-Speech


Jun 05, 2020
Jeff Donahue, Sander Dieleman, Mikołaj Bińkowski, Erich Elsen, Karen Simonyan


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Evolving Normalization-Activation Layers


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


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Transformation-based Adversarial Video Prediction on Large-Scale Data


Mar 09, 2020
Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan


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LOGAN: Latent Optimisation for Generative Adversarial Networks


Dec 02, 2019
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap


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Fast Sparse ConvNets


Nov 21, 2019
Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan


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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model


Nov 19, 2019
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver


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High Fidelity Speech Synthesis with Adversarial Networks


Sep 26, 2019
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan


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Off-Policy Actor-Critic with Shared Experience Replay


Sep 25, 2019
Simon Schmitt, Matteo Hessel, Karen Simonyan


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Efficient Video Generation on Complex Datasets


Jul 15, 2019
Aidan Clark, Jeff Donahue, Karen Simonyan


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Large Scale Adversarial Representation Learning


Jul 04, 2019
Jeff Donahue, Karen Simonyan


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Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods


Jun 07, 2019
Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan


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Hierarchical Autoregressive Image Models with Auxiliary Decoders


Mar 06, 2019
Jeffrey De Fauw, Sander Dieleman, Karen Simonyan


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The StreetLearn Environment and Dataset


Mar 04, 2019
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

* 13 pages, 6 figures, 4 tables. arXiv admin note: text overlap with arXiv:1804.00168 

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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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This Time with Feeling: Learning Expressive Musical Performance


Aug 10, 2018
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan

* Includes links to urls for audio samples 

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Learning to Search with MCTSnets


Jul 17, 2018
Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver

* ICML 2018 (camera-ready version) 

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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures


Jun 28, 2018
Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu


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The challenge of realistic music generation: modelling raw audio at scale


Jun 26, 2018
Sander Dieleman, Aäron van den Oord, Karen Simonyan

* 13 pages, 2 figures, submitted to NIPS 2018 

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Efficient Neural Audio Synthesis


Jun 25, 2018
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron van den Oord, Sander Dieleman, Koray Kavukcuoglu

* 10 pages 

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DARTS: Differentiable Architecture Search


Jun 24, 2018
Hanxiao Liu, Karen Simonyan, Yiming Yang


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Learning to Navigate in Cities Without a Map


Apr 17, 2018
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

* 13 pages, 13 figures 

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Kickstarting Deep Reinforcement Learning


Mar 10, 2018
Simon Schmitt, Jonathan J. Hudson, Augustin Zidek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Kuttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami


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