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Paul Albert
Paul Albert
PhD Student
Verifierad e-postadress på insight-centre.org - Startsida
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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
2732020
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
2632019
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
142021
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
132021
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
62021
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
52021
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
22021
Using image analysis and machine learning to estimate sward clover content
D Hennessy, M Saad, B Mac Namee, NE O'Connor, K McGuinness, ...
Sensing–New Insights into Grassland Science and Practice, 132, 2021
12021
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
2022
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
2022
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
2022
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
2021
Unsupervised label noise modeling and loss correction
E Arazo Sánchez, D Ortego, P Albert, NE O'Connor, K McGuinness
MIR Press, 2019
2019
Supplementary material for Addressing out-of-distribution label noise in webly-labelled data
P Albert, D Ortego, E Arazo, NE O’Connor, K McGuinness
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Artiklar 1–14