Bayesian techniques for Learning Invariances
Lead Research Organisation:
Imperial College London
Department Name: Computing
Abstract
Invariances are a strong and ubiquitous technique to improve generalisation in machine learning methods. They are currently hand-designed, and in this project we aim to use Bayesian model selection to automatically learn them with less human input.
Research area: Medical imaging
Research area: Medical imaging
Organisations
People |
ORCID iD |
| Artem Artemev (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/T51780X/1 | 01/10/2020 | 30/09/2025 | |||
| 2486621 | Studentship | EP/T51780X/1 | 01/10/2020 | 31/03/2024 | Artem Artemev |