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Thesis

Identifying and exploiting structures for reliable deep learning

Abstract:

Deep learning research has recently witnessed an impressively fast-paced progress in a wide range of tasks including computer vision, natural language processing, and reinforcement learning. The extraordinary performance of these systems often gives the impression that they can be used to revolutionise our lives for the better. However, as recent works point out, these systems suffer from several issues that make them unreliable for use in the real world, including vulnerability to adversa...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Research group:
The Alan Turing Institute
Oxford college:
St Hugh's College
Role:
Author
ORCID:
https://orcid.org/0000-0002-4190-0449

Contributors

Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Oxford college:
Lady Margaret Hall
Role:
Supervisor
ORCID:
https://orcid.org/0000-0002-2300-4819
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Oxford college:
St Catherine's College
Role:
Supervisor
More from this funder
Name:
The Alan Turing Institute
Funding agency for:
Sanyal, A
Grant:
TU/C/000023
Programme:
The Turing doctoral studentship
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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