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Hylke Buisman

dblp:81/480 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Language models and text generation · 87% Information extraction and text analysis · 13%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Databases, data mining, and information retrieval
1 paper
Knowledge graphs · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
compositional generalization		 0.412020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data · ICLR 2020
Software testing › test infrastructure
benchmark construction		 0.412020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data · ICLR 2020

Methods — techniques the papers use, named apart from their topics

compositional generalization evaluation · 0.9
YearPublicationVenuePosition
2020 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang 0038, Marc van Zee, Olivier Bousquet
 ICLR4
2015 Dissecting German Grammar and Swiss Passports: Open-Domain Decomposition of Compositional Entries in Large-Scale Knowledge Repositories
Marius Pasca, Hylke Buisman
 IJCAI2