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Matthew Wallingford

Neural Radiance Field Codebooks

Jan 10, 2023
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi

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* 19 pages, 8 figures, 9 tables

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Matryoshka Representations for Adaptive Deployment

Jun 01, 2022
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi

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* 32 pages, 11 figures Edits: Fixed details about adaptive classification

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Task Adaptive Parameter Sharing for Multi-Task Learning

Mar 30, 2022
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto

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* CVPR 2022 Camera Ready. 15 pages, 11 figures

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In the Wild: From ML Models to Pragmatic ML Systems

Jul 06, 2020
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

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* 16 pages, 6 figures, Code is available at https://github.com/RAIVNLab/InTheWild

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