עקוב אחר
Joshua Robinson
Joshua Robinson
Isomorphic Labs
כתובת אימייל מאומתת בדומיין mit.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Contrastive learning with hard negative samples‏
J Robinson, CY Chuang, S Sra, S Jegelka‏
ICLR, 2021‏
9142021
Debiased contrastive learning‏
CY Chuang, J Robinson, L Yen-Chen, A Torralba, S Jegelka‏
NeurIPS, 2020‏
7192020
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
1842023
Can contrastive learning avoid shortcut solutions?‏
J Robinson, L Sun, K Yu, K Batmanghelich, S Jegelka, S Sra‏
NeurIPS, 2021‏
1482021
Strength from Weakness: Fast Learning Using Weak Supervision‏
J Robinson, S Jegelka, S Sra‏
ICML, 2020‏
472020
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
34*2024
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
312022
Aggregation of Markov flows I: theory‏
R MacKay, J Robinson‏
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018‏
252018
Expressive Sign Equivariant Networks for Spectral Geometric Learning‏
D Lim, J Robinson, S Jegelka, Y Lipman, H Maron‏
NeurIPS, 2023‏
242023
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, ...‏
ICML Position Paper, 2023‏
22*2023
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning‏
S Gupta, J Robinson, D Lim, S Villar, S Jegelka‏
ICLR, 2024‏
182024
Flexible modeling of diversity with strongly log-concave distributions‏
J Robinson, S Sra, S Jegelka‏
NeurIPS, 2019‏
152019
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions‏
N Karalias*, J Robinson*, A Loukas, S Jegelka‏
NeurIPS, 2022‏
112022
Relbench: A benchmark for deep learning on relational databases‏
J Robinson, R Ranjan, W Hu, K Huang, J Han, A Dobles, M Fey, ...‏
Advances in Neural Information Processing Systems 37, 21330-21341, 2025‏
92025
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
Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings‏
B Bevilacqua, J Robinson, J Leskovec, B Ribeiro‏
The Thirteenth International Conference on Learning Representations, 0‏
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–16