Edinburgh Research Explorer

Timothy Hospedales

Personal Chair of Artificial Intelligence

Profile photo

Willingness to take PhD students: Yes

AI, Machine Learning applied to Computer Vision, Robotics and beyond. Meta-Learning, Learning to Learn, Transfer Learning.

Education/Academic qualification

Bachelor of Arts, University of Cambridge
Doctor of Philosophy (PhD), University of Edinburgh

Professional Qualifications

Fellow of the Higher Education Academy, FHEA

Area of Expertise

Research expertiseComputer Vision, Machine Learning

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.

Research outputs

  1. Differentiable Automatic Data Augmentation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. BézierSketch: A Generative Model for Scalable Vector Sketches

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Learning to Generate Novel Domains for Domain Generalization

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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