Isaac Xu

According to our database, Isaac Xu authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning.

Isaac Xu, Martin Gillis, Ayushi Sharma, Benjamin Misiuk, Craig J. Brown, Thomas Trappenberg

Trans. Mach. Learn. Res., 2026

Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation.

Martin Gillis, Isaac Xu, Thomas Trappenberg

Trans. Mach. Learn. Res., 2026

Last-layer committee machines for uncertainty estimations of benthic imagery.

Martin Gillis, Isaac Xu, Benjamin Misiuk, Craig J. Brown, Thomas Trappenberg

Neural Networks, 2026

2025

Uncertainty Estimation using Variance-Gated Distributions.

Martin Gillis, Isaac Xu, Thomas Trappenberg

CoRR, September, 2025

2024

BenthicNet: A global compilation of seafloor images for deep learning applications.

Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O'Brien, Elizabeth S. Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

CoRR, 2024

Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery.

Isaac Xu, Benjamin Misiuk, Scott C. Lowe, Martin Gillis, Thomas Trappenberg, Craig J. Brown

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

Label-free Monitoring of Self-Supervised Learning Progress.

Isaac Xu, Scott C. Lowe, Thomas Trappenberg

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022