Patacchiola, Massimiliano

11 publications

ICMLW 2024 Transformer Neural Autoregressive Flows Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner

CoLLAs 2023 Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner

ICLR 2023 FiT: Parameter Efficient Few-Shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner

NeurIPSW 2022 Contextual Squeeze-and-Excitation Massimiliano Patacchiola, John F Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E Turner

NeurIPS 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard Turner

NeurIPSW 2022 FiT: Parameter Efficient Few-Shot Transfer Learning Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner

ICLRW 2021 How Sensitive Are Meta-Learners to Dataset Imbalance? Mateusz Ochal, Massimiliano Patacchiola, Jose Manuel Vazquez Diosdado, Amos Storkey, Sen Wang

NeurIPS 2021 Memory Efficient Meta-Learning with Large Images John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner

NeurIPS 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemysław Spurek, Maciej Zieba

NeurIPS 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael O'Boyle, Amos J. Storkey

NeurIPS 2020 Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola, Amos J. Storkey