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Joshua Robinson
Joshua Robinson
Stanford
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Contrastive learning with hard negative samples
J Robinson, CY Chuang, S Sra, S Jegelka
ICLR, 2021
6402021
Debiased contrastive learning
CY Chuang, J Robinson, L Yen-Chen, A Torralba, S Jegelka
NeurIPS, 2020
5262020
Sign and basis invariant networks for spectral graph representation learning
D Lim*, J Robinson*, L Zhao, T Smidt, SJ Suvrit Sra, Haggai Maron
ICLR, 2023
107*2023
Can contrastive learning avoid shortcut solutions?
J Robinson, L Sun, K Yu, K Batmanghelich, S Jegelka, S Sra
NeurIPS, 2021
982021
Strength from Weakness: Fast Learning Using Weak Supervision
J Robinson, S Jegelka, S Sra
ICML, 2020
352020
Aggregation of Markov flows I: theory
R MacKay, J Robinson
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018
242018
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
S Mishra*, J Robinson*, H Chang, D Jacobs, A Sarna, A Maschinot, ...
Technical Report, 2022
17*2022
Flexible modeling of diversity with strongly log-concave distributions
J Robinson, S Sra, S Jegelka
NeurIPS, 2019
142019
On the Stability of Expressive Positional Encodings for Graph Neural Networks
Y Huang, W Lu, J Robinson, Y Yang, M Zhang, S Jegelka, P Li
ICLR, 2024
52024
Expressive Sign Equivariant Networks for Spectral Geometric Learning
D Lim, J Robinson, S Jegelka, Y Lipman, H Maron
NeurIPS, 2023
52023
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
S Gupta, J Robinson, D Lim, S Villar, S Jegelka
ICLR, 2024
42024
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
N Karalias*, J Robinson*, A Loukas, S Jegelka
NeurIPS, 2022
42022
Relational Deep Learning: Graph Representation Learning on Relational Databases
M Fey, W Hu, K Huang, JE Lenssen, R Ranjan, J Robinson, R Ying, J You, ...
arXiv preprint arXiv:2312.04615, 2023
32023
The First Learning on Graphs Conference: Preface
B Rieck, R Pascanu, Y Du, H Stärk, D Lim, CK Joshi, A Deac, I Duta, ...
Learning on Graphs Conference, i-xxiii, 2022
2022
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