Joshua Robinson
MIT CSAIL & LIDS
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A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Mishra*, Joshua Robinson*, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
Preprint
Publication year: 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Nikolaos Karalias*, Joshua Robinson*, Andreas Loukas, Stefanie Jegelka
NeurIPS
Publication year: 2022
Sign and basis invariant networks for spectral graph representations
Derek Lim*, Joshua Robinson*, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
ICLR Spotlight
Publication year: 2023
Can contrastive learning avoid shortcut solutions?
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
NeurIPS
Publication year: 2021
Contrastive learning with hard negative samples
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
ICLR
Publication year: 2021
Debiased contrastive learning
Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, Stefanie Jegelka
NeurIPS Spotlight
Publication year: 2020
Optimal batch variance with second-order marginals
Zelda Mariet, Joshua Robinson, Jamie Smith, Suvrit Sra, Stefanie Jegelka
ICML 2020 Workshop on Real World Experiment Design and Active Learning
Publication year: 2020
Strength from weakness: fast learning using weak supervision
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
ICML
Publication year: 2020
Flexible modeling of diversity with strongly log-concave distributions
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
NeurIPS
Publication year: 2019
Aggregation of Markov flows I: theory
Robert MacKay, Joshua Robinson
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Publication year: 2018