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Unified Scaling Laws for Routed Language Models


Feb 09, 2022
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

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* Fixing typos and affiliation clarity 

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Improving language models by retrieving from trillions of tokens


Jan 11, 2022
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre

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* Add missing references. Fix some typos 

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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

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* 118 pages 

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Prune Responsibly


Sep 10, 2020
Michela Paganini

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Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding


Jul 06, 2020
Michela Paganini, Jessica Zosa Forde

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* arXiv admin note: text overlap with arXiv:2001.05050 

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dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration


Jun 12, 2020
Michela Paganini, Jessica Zosa Forde

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* 4 pages, 3 code listings, 1 figure 

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Streamlining Tensor and Network Pruning in PyTorch


Apr 28, 2020
Michela Paganini, Jessica Forde

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* 5 pages, 1 figure, 5 code listings. Published as a workshop paper at ICLR 2020 

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On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks


Jan 14, 2020
Michela Paganini, Jessica Forde

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* 8 pages, 8 figures, plus 5 appendices with additional figures and tables 

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One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers


Jun 06, 2019
Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian

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