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The CLRS Algorithmic Reasoning Benchmark



Petar Veličković , AdriĆ  PuigdomĆØnech Badia , David Budden , Razvan Pascanu , Andrea Banino , Misha Dashevskiy , Raia Hadsell , Charles Blundell

* To appear in ICML 2022. 19 pages, 4 figures 

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Unified Scaling Laws for Routed Language Models



Aidan Clark , Diego de las Casas , Aurelia Guy , Arthur Mensch , Michela Paganini , Jordan Hoffmann , Bogdan Damoc , Blake Hechtman , Trevor Cai , Sebastian Borgeaud , George van den Driessche , Eliza Rutherford , Tom Hennigan , Matthew Johnson , Katie Millican , Albin Cassirer , Chris Jones , Elena Buchatskaya , David Budden , Laurent Sifre , Simon Osindero , Oriol Vinyals , Jack Rae , Erich Elsen , Koray Kavukcuoglu , Karen Simonyan

* Fixing typos and affiliation clarity 

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



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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Large-scale graph representation learning with very deep GNNs and self-supervision



Ravichandra Addanki , Peter W. Battaglia , David Budden , Andreea Deac , Jonathan Godwin , Thomas Keck , Wai Lok Sibon Li , Alvaro Sanchez-Gonzalez , Jacklynn Stott , Shantanu Thakoor , Petar Veličković

* To appear at KDD Cup 2021. 13 pages, 3 figures. All authors contributed equally 

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A Combinatorial Perspective on Transfer Learning



Jianan Wang , Eren Sezener , David Budden , Marcus Hutter , Joel Veness


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Gaussian Gated Linear Networks



David Budden , Adam Marblestone , Eren Sezener , Tor Lattimore , Greg Wayne , Joel Veness


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Online Learning in Contextual Bandits using Gated Linear Networks



Eren Sezener , Marcus Hutter , David Budden , Jianan Wang , Joel Veness


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Task-Relevant Adversarial Imitation Learning



Konrad Zolna , Scott Reed , Alexander Novikov , Sergio Gomez Colmenarej , David Budden , Serkan Cabi , Misha Denil , Nando de Freitas , Ziyu Wang


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Gated Linear Networks



Joel Veness , Tor Lattimore , Avishkar Bhoopchand , David Budden , Christopher Mattern , Agnieszka Grabska-Barwinska , Peter Toth , Simon Schmitt , Marcus Hutter

* arXiv admin note: substantial text overlap with arXiv:1712.01897 

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