I am CS PhD student at the University of Washington advised by Ali Farhadi. Before coming to Seattle, I received my bachelor's in math (minor in physics and CS) and an MS in CS from Cornell University where I was advised by Bharath Hariharan.

Broadly my research is in computer vision and machine learning. Currently I am interested in 3D representations in vision, sample-efficiency, and learning from video.

Publications

[NeurIPS '23] Neural Priming for Sample-Efficient Adaptation
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Neural Information Processing Systems (NeurIPS), 2023

[NeurIPS Datasets '23] Objaverse-XL: A Universe of 10M+ 3D Objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel,Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Neural Information Processing Systems (NeurIPS), Benchmarks and Datasets, 2023

[ICLR '23] Neural Radiance Field Codebooks
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
International Conference on Learning Representations (ICLR), 2023

[TMLR '23] FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
Transactions on Machine Learning Research (TMLR), 2023

[NeurIPS '22] Matryoshka Representation Learning
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi
Neural Information Processing Systems (NeurIPS), 2022

[CVPR '22] Task Adaptive Parameter Sharing for Multi-Task Learning
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[NeurIPS '21] LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi
Neural Information Processing Systems (NeurIPS), 2021

[CVPR '20] RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
Conference on Computer Vision and Pattern Recognition (CVPR), 2020