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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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ETA Prediction with Graph Neural Networks in Google Maps


Aug 25, 2021
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković

* To appear at CIKM 2021 (Applied Research Track). 10 pages, 4 figures 

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WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset


Jul 20, 2021
Luyu Wang, Yujia Li, Ozlem Aslan, Oriol Vinyals


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Computer-Aided Design as Language


May 06, 2021
Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti

* 24 pages, 11 figures, 3 tables 

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Solving Mixed Integer Programs Using Neural Networks


Dec 23, 2020
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols


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Strong Generalization and Efficiency in Neural Programs


Jul 08, 2020
Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals


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Scalable Deep Generative Modeling for Sparse Graphs


Jun 28, 2020
Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans

* ICML 2020 

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A sparse negative binomial mixture model for clustering RNA-seq count data


Dec 05, 2019
Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George Tseng


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Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving


Dec 04, 2019
Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno


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Learning Transferable Graph Exploration


Oct 28, 2019
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

* To appear in NeurIPS 2019 

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