Mateusz Ochal

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Object Detection

Synthetic Datasets

Reinforcement Learning

Class Imbalance

Top Venues

IEEE Trans. Artif. Intell.

Publications

Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos J. Storkey, Sen Wang
Few-Shot Learning With Class Imbalance. IEEE Trans. Artif. Intell. 4 (5) (2023)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. CoRR (2022)
Chenhongyi Yang, Mateusz Ochal, Amos J. Storkey, Elliot J. Crowley
Prediction-Guided Distillation for Dense Object Detection. ECCV (9) (2022)
Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang
How Sensitive are Meta-Learners to Dataset Imbalance? CoRR (2021)
Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang
Few-Shot Learning with Class Imbalance. CoRR (2021)
Sebastian Stein, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico Gerding, Raghu K. Ganti, Ting He, Tom La Porta
Strategyproof Reinforcement Learning for Online Resource Allocation. AAMAS (2020)
Mateusz Ochal, Jose Vazquez, Yvan R. Petillot, Sen Wang
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification. CoRR (2020)
Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey
Defining Benchmarks for Continual Few-Shot Learning. CoRR (2020)