Conference item icon

Conference item

Riemannian walk for incremental learning: Understanding forgetting and intransigence

Abstract:

Incremental learning (IL) has received a lot of attention recently, however, the literature lacks a precise problem definition, proper evaluation settings, and metrics tailored specifically for the IL problem. One of the main objectives of this work is to fill these gaps so as to provide a common ground for better understanding of IL. The main challenge for an IL algorithm is to update the classifier whilst preserving existing knowledge. We observe that, in addition to forgetting, a known iss...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

Actions


Access Document


Files:
Publisher copy:
10.1007/978-3-030-01252-6_33

Authors


Chaudhry, A More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Rhodes Trust More from this funder
More from this funder
Grant:
ERC-2012-AdG-321162-HELIOS
Publisher:
Springer Publisher's website
Publication date:
2018-10-06
Acceptance date:
2018-07-03
DOI:
Pubs id:
pubs:934804
URN:
uri:092625dd-d31d-43b1-9466-4cc18e8598ea
UUID:
uuid:092625dd-d31d-43b1-9466-4cc18e8598ea
Local pid:
pubs:934804

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP