Strategyproof Reinforcement Learning for Online Resource Allocation. - Sebastian Stein 001; Mateusz Ochal; Ioana-Adriana Moisoiu; Enrico H. Gerding; Raghu K. Ganti; Ting He 001; Tom La Porta (AAMAS, 2020)

Defining Benchmarks for Continual Few-Shot Learning. - Antreas Antoniou; Massimiliano Patacchiola; Mateusz Ochal; Amos J. Storkey (CoRR, 2020)

A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification. - Mateusz Ochal; Jose Vazquez; Yvan R. Petillot; Sen Wang 002 (CoRR, 2020)

How Sensitive are Meta-Learners to Dataset Imbalance? - Mateusz Ochal; Massimiliano Patacchiola; Amos J. Storkey; Jose Vazquez; Sen Wang 002 (CoRR, 2021)

Prediction-Guided Distillation for Dense Object Detection. - Chenhongyi Yang; Mateusz Ochal; Amos J. Storkey; Elliot J. Crowley (ECCV (9), 2022)

Few-Shot Learning With Class Imbalance. - Mateusz Ochal; Massimiliano Patacchiola; Jose Vazquez; Amos J. Storkey; Sen Wang 002 (IEEE Trans. Artif. Intell., 2023)

EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. - Mateusz Ochal; Massimiliano Patacchiola; Malik Boudiaf; Sen Wang 002 (CoRR, 2024)