Massimiliano Patacchiola

35 papers A* 8A 1B 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. CoRR Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf, Sen Wang
2024	J	`jnl`	Transformer Neural Autoregressive Flows. CoRR Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner
2023	—	`conf`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	Few-Shot Learning With Class Imbalance. IEEE Trans. Artif. Intell. Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos Storkey, Sen Wang
2023	A*	`conf`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. ICLR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots. IEEE Trans. Cybern. Massimiliano Patacchiola, Angelo Cangelosi
2022	A*	`conf`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. CoRR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2021	J	`jnl`	Few-Shot Learning with Class Imbalance. CoRR Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang
2021	J	`jnl`	How Sensitive are Meta-Learners to Dataset Imbalance? CoRR Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang
2021	A*	`conf`	Memory Efficient Meta-Learning with Large Images. NeurIPS John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	J	`jnl`	Memory Efficient Meta-Learning with Large Images. CoRR John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	A*	`conf`	Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2020	A*	`conf`	Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels. NeurIPS Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
2020	J	`jnl`	Defining Benchmarks for Continual Few-Shot Learning. CoRR Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey
2020	A*	`conf`	Do Humans Imitate Robots?: An Investigation of Strategic Social Learning in Human-Robot Interaction. HRI Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Serge Thill, Angelo Cangelosi
2020	J	`jnl`	Generalisation of Anthropomorphic Stereotype. Int. J. Soc. Robotics Debora Zanatto, Massimiliano Patacchiola, Angelo Cangelosi, Jeremy Goslin
2020	A*	`conf`	Self-Supervised Relational Reasoning for Representation Learning. NeurIPS Massimiliano Patacchiola, Amos J. Storkey
2020	J	`jnl`	Self-Supervised Relational Reasoning for Representation Learning. CoRR Massimiliano Patacchiola, Amos J. Storkey
2020	J	`jnl`	Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics Riccardo Polvara, Massimiliano Patacchiola, Marc Hanheide, Gerhard Neumann
2020	J	`jnl`	Y-Autoencoders: Disentangling latent representations via sequential encoding. Pattern Recognit. Lett. Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten
2019	J	`jnl`	Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. CoRR Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos Storkey
2019	A	`conf`	Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. IROS Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi
2019	J	`jnl`	Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. CoRR Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi
2019	J	`jnl`	Y-Autoencoders: disentangling latent representations via sequential-encoding. CoRR Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten
2018	—	`conf`	Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind. AIC Samuele Vinanzi, Massimiliano Patacchiola, Antonio Chella, Angelo Cangelosi
2017	J	`jnl`	Autonomous Quadrotor Landing using Deep Reinforcement Learning. CoRR Riccardo Polvara, Massimiliano Patacchiola, Sanjay K. Sharma, Jian Wan, Andrew Manning, Robert Sutton, Angelo Cangelosi
2017	J	`jnl`	Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers. CoRR Luca Surace, Massimiliano Patacchiola, Elena Battini Sonmez, William Spataro, Angelo Cangelosi
2017	B	`conf`	Emotion recognition in the wild using deep neural networks and Bayesian classifiers. ICMI Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez, William Spataro, Angelo Cangelosi
2017	J	`jnl`	Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods. Pattern Recognit. Massimiliano Patacchiola, Angelo Cangelosi
2016	—	`conf`	A developmental Bayesian model of trust in artificial cognitive systems. ICDL-EPIROB Massimiliano Patacchiola, Angelo Cangelosi
2016	A*	`conf`	Priming Anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots? HRI Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Angelo Cangelosi