Hospedales, Timothy

Meta-Learning in Neural Networks: A Survey

Hospedales, T., Antoniou, A., Micaelli, P., & Storkey, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 886

Meta-Learning in Neural Networks: A Survey

Hospedales, T. M., Antoniou, A., Micaelli, P., & Storkey, A. J. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 886

Transductive Multi-View Zero-Shot Learning

Fu, Y., Hospedales, T. M., Xiang, T., & Gong, S. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 514

Self-Supervised Representation Learning: Introduction, advances, and challenges

Ericsson, L., Gouk, H., Loy, C. C., & Hospedales, T. M. (2022) · IEEE Signal Processing Magazine

Domain Adaptation and Few-Shot LearningAdvanced Graph Neural Networks

Cited by 433

Hypernetwork Knowledge Graph Embeddings

Balažević, I., Allen, C., & Hospedales, T. M. (2019) · Lecture Notes in Computer Science

Advanced Graph Neural NetworksTopic Modeling

Cited by 229

Multi-relational Poincaré Graph Embeddings

Balažević, I., Allen, C., & Hospedales, T. (2019) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 123

Incremental Few-Shot Object Detection

Perez-Rua, J.-M., Zhu, X., Hospedales, T. M., & Xiang, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 55

Fisher SAM: Information Geometry and Sharpness Aware Minimisation

Kim, M., Li, D., Hu, S. X., & Hospedales, T. M. (2022) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 13

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation

Zhao, C., & Hospedales, T. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 11

Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?

Shimabucoro, L., Hospedales, T., & Gouk, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 4

Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks

Jegorova, M., Karjalainen, A. I., Vazquez, J., & Hospedales, T. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Underwater Acoustics ResearchUnderwater Vehicles and Communication Systems

Cited by 0