עקוב אחר
Paul Albert
Paul Albert
Postdoctoral Researcher, Australian Instiute for Machine Learning
כתובת אימייל מאומתת בדומיין adelaide.edu.au - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Pseudo-labeling and confirmation bias in deep semi-supervised learning‏
E Arazo, D Ortego, P Albert, NE O’Connor, K McGuinness‏
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020‏
10752020
Unsupervised label noise modeling and loss correction‏
E Arazo, D Ortego, P Albert, N O’Connor, K McGuinness‏
International Conference on Machine Learning, 312-321, 2019‏
7452019
Multi-Objective Interpolation Training for Robustness to Label Noise‏
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021‏
1472021
Towards robust learning with different label noise distributions‏
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness‏
2020 25th International Conference on Pattern Recognition (ICPR), 7020-7027, 2021‏
312021
Addressing out-of-distribution label noise in webly-labelled data‏
P Albert, D Ortego, E Arazo, NE O'Connor, K McGuinness‏
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022‏
262022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection‏
P Albert, E Arazo, T Krishna, NE O’Connor, K McGuinness‏
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023‏
172023
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset‏
B Narayanan, M Saadeldin, P Albert, K McGuinness, B Mac Namee‏
arXiv preprint arXiv:2101.03198, 2021‏
142021
Relab: Reliable label bootstrapping for semi-supervised learning‏
P Albert, D Ortego, E Arazo, N O'Connor, K McGuinness‏
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021‏
112021
Embedding contrastive unsupervised features to cluster in-and out-of-distribution noise in corrupted image datasets‏
P Albert, E Arazo, NE O’Connor, K McGuinness‏
European Conference on Computer Vision, 402-419, 2022‏
92022
Semi-Supervised Dry Herbage Mass Estimation Using Automatic Data and Synthetic Images‏
P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ...‏
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021‏
92021
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation‏
P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ...‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022‏
82022
How Important is Importance Sampling for Deep Budgeted Training?‏
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness‏
arXiv preprint arXiv:2110.14283, 2021‏
72021
Knowledge composition using task vectors with learned anisotropic scaling‏
FZ Zhang, P Albert, C Rodriguez-Opazo, A van den Hengel, ...‏
Advances in Neural Information Processing Systems 37, 67319-67354, 2025‏
42025
Using image analysis and machine learning to estimate sward clover content‏
D Hennessy, M Saad, B Mac Namee, NE O’Connor, K McGuinness, ...‏
European Grassland Federation Symposium, 2021‏
32021
An accurate detection is not all you need to combat label noise in web-noisy datasets‏
P Albert, J Valmadre, E Arazo, T Krishna, NE O’Connor, K McGuinness‏
European Conference on Computer Vision, 55-72, 2024‏
12024
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation‏
P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ...‏
arXiv preprint arXiv:2204.09343, 2022‏
12022
RandLoRA: Full-rank parameter-efficient fine-tuning of large models‏
P Albert, FZ Zhang, H Saratchandran, C Rodriguez-Opazo, A Hengel, ...‏
arXiv preprint arXiv:2502.00987, 2025‏
2025
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge‏
M Zawish, P Albert, F Esposito, S Davy, L Abraham‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024‏
2024
Unifying Synergies between Self-supervised Learning and Dynamic Computation‏
T Krishna, AK Rai, A Drimbarean, E Arazo, P Albert, AF Smeaton, ...‏
arXiv preprint arXiv:2301.09164, 2023‏
2023
Deep learning for computer vision constrained by limited supervision‏
P Albert‏
Dublin City University, 2023‏
2023
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מאמרים 1–20