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Scaling Language Models: Methods, Analysis & Insights from Training Gopher


Dec 08, 2021
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Ed Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

* 118 pages 

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SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition


Jun 07, 2021
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess

* Animated figures are available at https://sites.google.com/view/simone-scene-understanding/ 

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Unsupervised Object-Based Transition Models for 3D Partially Observable Environments


Mar 08, 2021
Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan


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AlignNet: Unsupervised Entity Alignment


Jul 21, 2020
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan


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An Explicitly Relational Neural Network Architecture


May 24, 2019
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo


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Adversarial Information Factorization


Sep 28, 2018
Antonia Creswell, Yumnah Mohamied, Biswa Sengupta, Anil A Bharath


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Inverting The Generator Of A Generative Adversarial Network (II)


Feb 15, 2018
Antonia Creswell, Anil A Bharath

* Under review at IEEE TNNLS 

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Denoising Adversarial Autoencoders


Jan 04, 2018
Antonia Creswell, Anil Anthony Bharath

* submitted to journal 

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Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data


Jan 02, 2018
Antonia Creswell, Alison Pouplin, Anil A Bharath

* Under consideration for the IET Computer Vision Journal special issue on "Computer Vision in Cancer Data Analysis" 

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LatentPoison - Adversarial Attacks On The Latent Space


Nov 08, 2017
Antonia Creswell, Anil A. Bharath, Biswa Sengupta

* Submitted to ICLR 2018 

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Generative Adversarial Networks: An Overview


Oct 19, 2017
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A Bharath

* Accepted in the IEEE Signal Processing Magazine Special Issue on Deep Learning for Visual Understanding 

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On denoising autoencoders trained to minimise binary cross-entropy


Oct 09, 2017
Antonia Creswell, Kai Arulkumaran, Anil A. Bharath

* Submitted to Pattern Recognition Letters 

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Improving Sampling from Generative Autoencoders with Markov Chains


Jan 12, 2017
Antonia Creswell, Kai Arulkumaran, Anil Anthony Bharath


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Inverting The Generator Of A Generative Adversarial Network


Nov 17, 2016
Antonia Creswell, Anil Anthony Bharath

* Accepted at NIPS 2016 Workshop on Adversarial Training 

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Task Specific Adversarial Cost Function


Sep 27, 2016
Antonia Creswell, Anil A. Bharath

* Submitted to TPAMI 

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Adversarial Training For Sketch Retrieval


Aug 23, 2016
Antonia Creswell, Anil Anthony Bharath

* Accepted to ECCV2016 VisArt Workshop 

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