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ORCIDGregory Canal
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- affiliation (PhD 2021): Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
[i9]Gregory Canal, Vladimir Leung, Philip Sage, Eric Heim, I-Jeng Wang:
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment. CoRR abs/2408.01301 (2024)- 2023
- [c11]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML 2023: 1454-1471 - [i8]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR abs/2306.09158 (2023) - [i7]Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak:
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR abs/2306.09910 (2023) - 2022
- [c10]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS 2022 - [i6]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR abs/2207.03609 (2022) - 2021
- [b1]Gregory Humberto Canal:
Feedback Coding for Efficient Interactive Machine Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [c9]Gregory Canal, Matthieu R. Bloch, Christopher Rozell:
Feedback Coding for Active Learning. AISTATS 2021: 1468-1476 - [c8]Marissa Connor, Gregory Canal, Christopher Rozell:
Variational Autoencoder with Learned Latent Structure. AISTATS 2021: 2359-2367 - [i5]Gregory Canal, Matthieu R. Bloch, Christopher Rozell:
Feedback Coding for Active Learning. CoRR abs/2103.00654 (2021) - 2020
- [c7]Gregory Canal, Stefano Fenu, Christopher Rozell:
Active Ordinal Querying for Tuplewise Similarity Learning. AAAI 2020: 3332-3340 - [c6]Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP 2020: 3462-3466 - [c5]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ITA 2020: 1 - [c4]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport:
Generative causal explanations of black-box classifiers. NeurIPS 2020 - [i4]Marissa Connor, Gregory H. Canal, Christopher J. Rozell:
Variational Autoencoder with Learned Latent Structure. CoRR abs/2006.10597 (2020) - [i3]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher Rozell:
Generative causal explanations of black-box classifiers. CoRR abs/2006.13913 (2020)
2010 – 2019
- 2019
- [c3]Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP 2019: 121-125 - [c2]Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ICML 2019: 902-911 - [i2]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active embedding search via noisy paired comparisons. CoRR abs/1905.04363 (2019) - [i1]Gregory Canal, Stefano Fenu, Christopher J. Rozell:
Active ordinal tuplewise querying for similarity learning. CoRR abs/1910.04115 (2019) - 2018
- [c1]Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell:
Interactive Object Segmentation with Noisy Binary Inputs. GlobalSIP 2018: 405-409
Coauthor Index
aka: Christopher Rozell
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