Uncertainty in model-agnostic meta-learning using variational inference C Nguyen, TT Do, G Carneiro The IEEE Winter Conference on Applications of Computer Vision, 3090-3100, 2020 | 65 | 2020 |
Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference LV Nguyen, CC Nguyen, G Carneiro, H Ebendorff-Heidepriem, ... Photonics Research 9 (4), B109-B118, 2021 | 58 | 2021 |
Instance-Dependent Noisy Label Learning via Graphical Modelling A Garg, C Nguyen, R Felix, TT Do, G Carneiro Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 26 | 2023 |
PAC-Bayes Meta-learning with Implicit Task-specific Posteriors CC Nguyen, TT Do, G Carneiro IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 14* | 2022 |
Analytical modeling and optimization of electret-based microgenerators under sinusoidal excitations CC Nguyen, DC Ranasinghe, SF Al-Sarawi Microsystem Technologies 23 (12), 5855-5865, 2017 | 10 | 2017 |
Unsupervised Task Design to Meta-Train Medical Image Classifiers G Maicas, C Nguyen, F Motlagh, JC Nascimento, G Carneiro 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1339-1342, 2020 | 9 | 2020 |
Probabilistic task modelling for meta-learning CC Nguyen, TT Do, G Carneiro Uncertainty in Artificial Intelligence, 781-791, 2021 | 7 | 2021 |
Similarity of Classification Tasks C Nguyen, TT Do, G Carneiro NeurIPS workshop on meta-learning, 2021 | 7 | 2021 |
Task Weighting in Meta-learning with Trajectory Optimisation CC Nguyen, TT Do, G Carneiro Transactions on Machine Learning Research, 2023 | 3 | 2023 |
Model and feature diversity for bayesian neural networks in mutual learning C Pham, CC Nguyen, T Le, D Phung, G Carneiro, TT Do Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 2 | 2023 |
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels A Garg, C Nguyen, R Felix, TT Do, G Carneiro arXiv preprint arXiv:2303.10802, 2023 | 2 | 2023 |
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning DA Hoang, C Nguyen, B Vasileios, G Carneiro arXiv preprint arXiv:2208.08132, 2022 | 2 | 2022 |
Electret-based microgenerators under sinusoidal excitations: an analytical modeling CC Nguyen, DC Ranasinghe, SF Al-Sarawi Smart Structures and Systems 21 (3), 335-347, 2018 | 2 | 2018 |
Smart task design for meta learning medical image analysis systems: Unsupervised, weakly-supervised, and cross-domain design of meta learning tasks CC Nguyen, Y Dawoud, TT Do, JC Nascimento, V Belagiannis, ... Meta-Learning with Medical Imaging and Health Informatics Applications, 185-209, 2023 | 1 | 2023 |
Noisy-label Learning with Sample Selection based on Noise Rate Estimate A Garg, C Nguyen, R Felix, TT Do, G Carneiro arXiv preprint arXiv:2305.19486, 2023 | | 2023 |
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach C Nguyen, TT Do, G Carneiro arXiv preprint arXiv:2301.01405, 2023 | | 2023 |
Harnessing meta-learning via probabilistic modelling and trajectory optimisation CC Nguyen University of Adelaide, 2021 | | 2021 |
Analytical modeling of electret-based microgenerators under sinusoidal vibrations C Nguyen University of Adelaide, 2017 | | 2017 |