Mateusz Ochal

According to our database, Mateusz Ochal authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Few-Shot Learning With Class Imbalance.

Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos J. Storkey, Sen Wang

IEEE Trans. Artif. Intell., October, 2023

2022

Prediction-Guided Distillation for Dense Object Detection.

Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

How Sensitive are Meta-Learners to Dataset Imbalance?

Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang

CoRR, 2021

2020

A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification.

Mateusz Ochal, Jose Vazquez, Yvan R. Petillot, Sen Wang

CoRR, 2020

Defining Benchmarks for Continual Few-Shot Learning.

Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey

CoRR, 2020

Strategyproof Reinforcement Learning for Online Resource Allocation.

Sebastian Stein, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico H. Gerding, Raghu K. Ganti, Ting He, Tom La Porta

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020