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ORCIDCuong Nguyen 0006
Person information
- unicode name: Cường Cao Nguyễn
- affiliation: University of Adelaide, Australian Institute for Machine Learning (AIML), Australia
Other persons with the same name
- Cuong Nguyen — disambiguation page
- Cuong Nguyen 0001 (aka: Anh Cuong Nguyen) — University of California, Berkeley (and 1 more)
- Cuong Nguyen 0002 — Colorado State University, Fort Collins, CO, USA
- Cuong Nguyen 0003
![[0000-0001-9234-9960]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9234-9960")
— Adobe Research, San Francisco, CA, USA (and 1 more) - Cuong Nguyen 0004 — National Institute of Standards and Technology, Gaithersburg, MD, USA
- Cuong Nguyen 0005 — The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia
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Journal Articles
- 2025
[j3]Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro:
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. Trans. Mach. Learn. Res. 2025 (2025)- 2023
- [j2]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 841-851 (2023) - [j1]Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2025
- [c8]Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. ICLR 2025 - 2024
- [c7]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) 2024: 236-252 - [c6]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. ECCV (4) 2024: 372-389 - 2023
- [c5]Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS 2023 - [c4]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV 2023: 2287-2297 - 2021
- [c3]Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. UAI 2021: 781-791 - 2020
- [c2]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. ISBI 2020: 1339-1342 - [c1]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV 2020: 3079-3089
Informal and Other Publications
- 2025
- [i15]Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro:
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. CoRR abs/2501.13389 (2025) - 2024
- [i14]Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR abs/2407.02721 (2024) - [i13]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR abs/2407.14726 (2024) - [i12]Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro:
Coverage-Constrained Human-AI Cooperation with Multiple Experts. CoRR abs/2411.11976 (2024) - 2023
- [i11]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR abs/2301.01400 (2023) - [i10]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR abs/2301.01405 (2023) - [i9]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR abs/2303.10802 (2023) - [i8]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR abs/2305.19486 (2023) - 2022
- [i7]Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro:
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR abs/2208.08132 (2022) - [i6]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR abs/2209.00906 (2022) - 2021
- [i5]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. CoRR abs/2101.11201 (2021) - [i4]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. CoRR abs/2106.04802 (2021) - 2020
- [i3]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. CoRR abs/2003.02455 (2020) - 2019
- [i2]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR abs/1907.07816 (2019) - [i1]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR abs/1907.11864 (2019)
Coauthor Index
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