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MPhil in Machine Learning and Machine Intelligence

MPhil in Machine Learning and Machine Intelligence

  • Home
  • Course Highlights
  • Frequently Asked Questions
  • Contact Us

About the Programme

  • About the Programme overview
  • Course Structure
  • Research Project
  • Assessment
  • Meet Former Students
  • Professional Development
  • Academic Staff
  • Preliminary Reading

How to Apply

  • How to Apply overview
  • Making an Application
  • Academic Background
  • Funding
  • Home
  • About the Programme

    About the Programme

    About the Programme overview
    • Course Structure
    • Research Project
    • Assessment
    • Meet Former Students
    • Professional Development
    • Academic Staff
    • Preliminary Reading
  • How to Apply

    How to Apply

    How to Apply overview
    • Making an Application
    • Academic Background
    • Funding
  • Course Highlights
  • Frequently Asked Questions
  • Contact Us
    • Home
    • About the Programme
    • How to Apply
    • Course Highlights
    • Frequently Asked Questions
    • Contact Us
  1. Home
  2. Dissertation Highlights By Track

Dissertation Highlights by Track

Machine Learning

  • Data Compression with Variational Implicit Neural Representations
  • Sim2Real With Neural Processes
  • {On, Off}-The-Grid Data Modelling Using Transformer Neural Processes

Speech and Language Processing

  • Automated Situated Task Guidance with Foundation Models
  • Effectiveness of SSL Representations for Source Separation
  • Reranking Multi-Modal Retrievers for Knowledge-Based Visual Question Answering

Computer Vision and Robotics

  • Adapting Pre-Trained Vision-Language Models in Medical Domains
  • 3D Pose Estimation and Topology Reconstruction Using Foundation Models and Render and Compare
  • Modelling Additive Manufacturing Processes via Graph-Conditioned Diffusion Models

Human-Computer Interaction

  • Co-Activation Detection in Ten-Finger Typing on a Virtual Keyboard (paper)
  • Scene Interpretation for Visual Accessibility in Virtual Reality (paper)
  • Developing a Vision-Language-Action Model to Drive Contextual User Interface Adaptation

Biological Learning

  • Continual Decision Making in Recurrent Neural Networks
  • Nonlinear, Scalable Sequential Component Analysis

MPhil in Machine Learning and Machine Intelligence

Contact Information

Department of Engineering Trumpington Street Cambridge CB2 1PZ United Kingdom
mlmi-mphil-enquiries@eng.cam.ac.uk

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