| Preview | Issue Date | Title | Author(s) |
| 2018 | A Bayesian data augmentation approach for learning deep models | Tran, T.; Pham, T.; Carneiro, G.; Palmer, L.; Reid, I.; Guyon, I.; Luxburg, U.V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R.; NIPS Foundation Inc (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA) |
| 2022 | ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification | Liu, F.; Tian, Y.; Chen, Y.; Liu, Y.; Belagiannis, V.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana) |
| 2020 | Approximate Fisher information matrix to characterise the training of deep neural networks | Liao, Z.; Drummond, T.; Reid, I.; Carneiro, G. |
| 2018 | Bayesian semantic instance segmentation in open set world | Pham, T.; Vijay Kumar, B.; Do, T.; Carneiro, G.; Reid, I.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich) |
| 2020 | Generalised Zero-shot Learning with Multi-modal Embedding Spaces | Felix, R.; Sasdelli, M.; Harwood, B.; Carneiro, G.; Digital Image Computing: Techniques and Applications (DICTA) (29 Nov 2020 - 2 Dec 2020 : virtual online) |
| 2023 | Instance-Dependent Noisy Label Learning via Graphical Modelling | Garg, A.; Nguyen, C.; Felix, R.; Do, T.-T.; Carneiro, G.; IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 Jan 2023 - 7 Jan 2023 : Waikoloa, HI, USA) |
| 2018 | Multi-modal cycle-consistent generalized zero-shot learning | Felix, R.; Vijay Kumar, B.; Reid, I.; Carneiro, G.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (ECCV 2018) (8 Sep 2018 - 14 Sep 2018 : Munich) |
| 2023 | Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling | Wang, H.; Chen, Y.; Ma, C.; Avery, J.C.; Hull, M.L.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17 Jun 2023 - 24 Jun 2023 : Vancouver, Canada) |
| 2022 | Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes | Tian, Y.; Liu, Y.; Pang, G.; Liu, F.; Chen, Y.; Carneiro, G.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel) |
| 2021 | Probabilistic task modelling for Meta-Learning | Nguyen, C.C.; Do, T.-T.; Carneiro, G.; Conference of Uncertainty on Artificial Intelligence (UAI) (27 Jul 2021 - 30 Jul 2021 : online) |
| 2021 | Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification | Liu, F.; Tian, Y.; Cordeiro, F.R.; Belagiannis, V.; Reid, I.; Carneiro, G.; Lian, C.; Cao, X.; Rekik, I.; Xu, X.; Yan, P.; 12th International Workshop, Machine Learning in Medical Imaging (MLMI) (27 Sep 2021 - 27 Sep 2021 : Strasbourg, France) |
| 2023 | Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images | Tian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G. |
| 2020 | Semi-supervised multi-domain multi-task training for metastatic colon lymph node diagnosis from abdominal CT | Glaser, S.; Maicas Suso, G.; Bedrikovetski, S.; Sammour, T.; Carneiro, G.; IEEE International Symposium on Biomedical Imaging (ISBI) (3 Apr 2020 - 7 Apr 2020 : Iowa City, Iowa, USA) |
| 2018 | Training medical image analysis systems like radiologists | Maicas Suso, G.; Bradley, A.; Nascimento, J.; Reid, I.; Carneiro, G.; Frangi, A.; Schnabel, J.; Davatzikos, C.; Alberola-Lopez, C.; Fichtinger, G.; 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018) (16 Sep 2018 - 20 Sep 2018 : Granada) |
