Defining Benchmarks for Continual Few-Shot Learning A Antoniou, M Patacchiola, M Ochal, A Storkey NeurIPS Workshop on Meta-Learning (MetaLearn 2020), 2020 | 52 | 2020 |
Few-Shot Learning with Class Imbalance M Ochal, M Patacchiola, J Vazquez, A Storkey, S Wang IEEE Transactions on Artificial Intelligence 4, 1348-1358, 2023 | 30 | 2023 |
Prediction-guided distillation for dense object detection C Yang, M Ochal, A Storkey, EJ Crowley European Conference on Computer Vision, 123-138, 2022 | 30 | 2022 |
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification M Ochal, J Vazquez, Y Petillot, S Wang Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020 | 24 | 2020 |
Strategyproof Reinforcement Learning for Online Resource Allocation S Stein, M Ochal, IA Moisoiu, E Gerding, R Ganti, T He, T La Porta AAMAS 2020, 2020 | 11 | 2020 |
How Sensitive are Meta-Learners to Dataset Imbalance? M Ochal, M Patacchiola, J Vazquez, A Storkey, S Wang ICLR 2021 Workshop on Learning to Learn, 2021 | 3 | 2021 |
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits M Ochal, M Patacchiola, M Boudiaf, S Wang arXiv preprint arXiv:2408.02052, 2024 | | 2024 |
Class Imbalance in Few-Shot Learning M Ochal, M Patacchiola, J Vazquez, A Storkey, S Wang | | 2020 |
Online Mechanism Design using Reinforcement Learning for Cloud Resource Allocation M Ochal, S Stein, F Bi, M Cook, E Gerding, T He, T La Porta AAMAS-IJCAI workshop on Agents & Incentives in AI (AI^3), 2018 | | 2018 |
Prediction-Guided Distillation for Dense Object Detection (Supplementary Material) C Yang, M Ochal, A Storkey, EJ Crowley | | |