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PaLM: Scaling Language Modeling with Pathways



Aakanksha Chowdhery , Sharan Narang , Jacob Devlin , Maarten Bosma , Gaurav Mishra , Adam Roberts , Paul Barham , Hyung Won Chung , Charles Sutton , Sebastian Gehrmann , Parker Schuh , Kensen Shi , Sasha Tsvyashchenko , Joshua Maynez , Abhishek Rao , Parker Barnes , Yi Tay , Noam Shazeer , Vinodkumar Prabhakaran , Emily Reif , Nan Du , Ben Hutchinson , Reiner Pope , James Bradbury , Jacob Austin , Michael Isard , Guy Gur-Ari , Pengcheng Yin , Toju Duke , Anselm Levskaya , Sanjay Ghemawat , Sunipa Dev , Henryk Michalewski , Xavier Garcia , Vedant Misra , Kevin Robinson , Liam Fedus , Denny Zhou , Daphne Ippolito , David Luan , Hyeontaek Lim , Barret Zoph , Alexander Spiridonov , Ryan Sepassi , David Dohan , Shivani Agrawal , Mark Omernick , Andrew M. Dai , Thanumalayan Sankaranarayana Pillai , Marie Pellat , Aitor Lewkowycz , Erica Moreira , Rewon Child , Oleksandr Polozov , Katherine Lee , Zongwei Zhou , Xuezhi Wang , Brennan Saeta , Mark Diaz , Orhan Firat , Michele Catasta , Jason Wei , Kathy Meier-Hellstern , Douglas Eck , Jeff Dean , Slav Petrov , Noah Fiedel


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Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$



Adam Roberts , Hyung Won Chung , Anselm Levskaya , Gaurav Mishra , James Bradbury , Daniel Andor , Sharan Narang , Brian Lester , Colin Gaffney , Afroz Mohiuddin , Curtis Hawthorne , Aitor Lewkowycz , Alex Salcianu , Marc van Zee , Jacob Austin , Sebastian Goodman , Livio Baldini Soares , Haitang Hu , Sasha Tsvyashchenko , Aakanksha Chowdhery , Jasmijn Bastings , Jannis Bulian , Xavier Garcia , Jianmo Ni , Andrew Chen , Kathleen Kenealy , Jonathan H. Clark , Stephan Lee , Dan Garrette , James Lee-Thorp , Colin Raffel , Noam Shazeer , Marvin Ritter , Maarten Bosma , Alexandre Passos , Jeremy Maitin-Shepard , Noah Fiedel , Mark Omernick , Brennan Saeta , Ryan Sepassi , Alexander Spiridonov , Joshua Newlan , Andrea Gesmundo


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Pathways: Asynchronous Distributed Dataflow for ML



Paul Barham , Aakanksha Chowdhery , Jeff Dean , Sanjay Ghemawat , Steven Hand , Dan Hurt , Michael Isard , Hyeontaek Lim , Ruoming Pang , Sudip Roy , Brennan Saeta , Parker Schuh , Ryan Sepassi , Laurent El Shafey , Chandramohan A. Thekkath , Yonghui Wu

* MLSys 2022 

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LazyTensor: combining eager execution with domain-specific compilers



Alex Suhan , Davide Libenzi , Ailing Zhang , Parker Schuh , Brennan Saeta , Jie Young Sohn , Denys Shabalin


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Tensors Fitting Perfectly



Adam Paszke , Brennan Saeta


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Swift for TensorFlow: A portable, flexible platform for deep learning



Brennan Saeta , Denys Shabalin , Marc Rasi , Brad Larson , Xihui Wu , Parker Schuh , Michelle Casbon , Daniel Zheng , Saleem Abdulrasool , Aleksandr Efremov , Dave Abrahams , Chris Lattner , Richard Wei


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OpenSpiel: A Framework for Reinforcement Learning in Games



Marc Lanctot , Edward Lockhart , Jean-Baptiste Lespiau , Vinicius Zambaldi , Satyaki Upadhyay , Julien Pérolat , Sriram Srinivasan , Finbarr Timbers , Karl Tuyls , Shayegan Omidshafiei , Daniel Hennes , Dustin Morrill , Paul Muller , Timo Ewalds , Ryan Faulkner , János Kramár , Bart De Vylder , Brennan Saeta , James Bradbury , David Ding , Sebastian Borgeaud , Matthew Lai , Julian Schrittwieser , Thomas Anthony , Edward Hughes , Ivo Danihelka , Jonah Ryan-Davis


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