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Effective Version Space Reduction for Convolutional Neural Networks

Liu, Jiayu and Chiotellis, Ioannis and Triebel, Rudolph and Cremers, Daniel (2020) Effective Version Space Reduction for Convolutional Neural Networks. In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, 12458. European Conference on Machine Learning and Principles and Practive of Knowledge Discovery in Databases (ECML-PKDD), 2020-09-14 - 2020-09-18, Virtual. doi: 10.1007/978-3-030-67661-2_6. ISBN 978-303067660-5. ISSN 0302-9743.

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Item URL in elib:https://elib.dlr.de/136169/
Document Type:Conference or Workshop Item (Speech)
Title:Effective Version Space Reduction for Convolutional Neural Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Liu, JiayuTUMUNSPECIFIEDUNSPECIFIED
Chiotellis, IoannisTUMUNSPECIFIEDUNSPECIFIED
Triebel, RudolphUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cremers, DanielTUM, GermanyUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12458
DOI:10.1007/978-3-030-67661-2_6
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743
ISBN:978-303067660-5
Status:Published
Keywords:Active Learning, Deep Learning, Version Space, Diameter Reduction
Event Title:European Conference on Machine Learning and Principles and Practive of Knowledge Discovery in Databases (ECML-PKDD)
Event Location:Virtual
Event Type:international Conference
Event Start Date:14 September 2020
Event End Date:18 September 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Autonomy & Dexterity [SY]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Perception and Cognition
Deposited By: Triebel, Rudolph
Deposited On:25 Nov 2020 09:44
Last Modified:24 Apr 2024 20:38

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