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Mateusz Ochal
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Year
Defining Benchmarks for Continual Few-Shot Learning
A Antoniou, M Patacchiola, M Ochal, A Storkey
NeurIPS Workshop on Meta-Learning (MetaLearn 2020), 2020
512020
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
232023
Prediction-guided distillation for dense object detection
C Yang, M Ochal, A Storkey, EJ Crowley
European Conference on Computer Vision, 123-138, 2022
222022
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
202020
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
102020
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
32021
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
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Articles 1–9