Research output per year
Research output per year
Personal profile
Current Research Interests
Computer Vision: Recognition, retrieval, matching. Person re-identification. Zero-shot learning. Vision and language.
Robotics: Contextual Policies, Paramaterised Skills, Reinforcement Learning.
Machine Learning: Lifelong learning, transfer learning, multi-task learing, active learning, deep learning, probabilistic modeling.
Education/Academic qualification
Computer Science, Bachelor of Arts, University of Cambridge
Neuroinformatics, Doctor of Philosophy (PhD), University of Edinburgh
External positions
Visiting Reader, Queen Mary University of London
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Evaluating the evaluators: Are validation methods for few-shot learning fit for purpose?
Shimabucoro, L., Chavhan, R., Hospedales, T. & Gouk, H., 2 Dec 2024, In: Transactions on Machine Learning Research. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
Heggan, C., Budgett, S., Hospedales, T. M. & Yaghoobi Vaighan, M., 15 Aug 2024, IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW),. Institute of Electrical and Electronics EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Long-context vision large language models: Empirical insights and a baseline
Zong, Y., Elezi, I., Yang, Y., Deng, J. & Hospedales, T., 18 Jun 2024, p. 1-8. 8 p.Research output: Contribution to conference › Paper
Open AccessFile -
Parameter-efficient fine-tuning for medical image analysis: The missed opportunity
Dutt, R., Ericsson, L., Sanchez, P., Tsaftaris, S. A. & Hospedales, T. M., 24 May 2024, Proceedings of Medical Imaging with Deep Learning. p. 1-20 20 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Fool your (vision and) language model with embarrassingly simple permutations
Zong, Y., Yu, T., Chavhan, R., Zhao, B. & Hospedales, T., 15 May 2024, (Accepted/In press) Proceedings of the 41st International Conference on Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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Efficient Adaptation of Foundation Models for Downstream Medical Tasks.
Hospedales, T. (Principal Investigator)
14/01/25 → 18/07/25
Project: Research
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DSTL CASE studentship (T.Hospedales) - Robust Machine Learning with Application to Sonar
Hospedales, T. (Principal Investigator)
Defence Science and Technology Laboratory
1/01/24 → 30/06/27
Project: Research
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Multi-domain meta-learning
Ma, T. (Principal Investigator) & Hospedales, T. (Co-investigator)
7/09/21 → 9/12/22
Project: Research
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Signal Processing in the Information Age
Hospedales, T. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/07/18 → 31/03/24
Project: Research