Gregory Canal

According to our database, Gregory Canal authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment.

Gregory Canal, Vladimir Leung, Philip Sage, Eric Heim, I-Jeng Wang

CoRR, 2024

2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.

Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak

CoRR, 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.

Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2023

2022

One for All: Simultaneous Metric and Preference Learning over Multiple Users.

Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Feedback Coding for Efficient Interactive Machine Learning.

Gregory Humberto Canal

PhD thesis, 2021

Variational Autoencoder with Learned Latent Structure.

Marissa Connor, Gregory Canal, Christopher Rozell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Feedback Coding for Active Learning.

Gregory Canal, Matthieu R. Bloch, Christopher Rozell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Generative causal explanations of black-box classifiers.

Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model.

Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Active Ordinal Querying for Tuplewise Similarity Learning.

Gregory Canal, Stefano Fenu, Christopher Rozell

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Active ordinal tuplewise querying for similarity learning.

Gregory Canal, Stefano Fenu, Christopher J. Rozell

CoRR, 2019

Active Embedding Search via Noisy Paired Comparisons.

Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell

Proceedings of the 36th International Conference on Machine Learning, 2019

Joint Estimation of Trajectory and Dynamics from Paired Comparisons.

Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Interactive Object Segmentation with Noisy Binary Inputs.

Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018