Yintao Xu

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dblp:264/2621 · DBLP profile ↗

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1ranked-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 · 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

1 paper

Transfer learning and domain adaptation · 87% Efficient and distributed learning · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Transfer learning and domain adaptation › model adaptation architecture adaptation	0.4	1	2020	Towards Fast Adaptation of Neural Architectures with Meta Learning · ICLR 2020
Machine learning › Transfer learning and domain adaptation meta-learning	0.4	1	2020	Towards Fast Adaptation of Neural Architectures with Meta Learning · ICLR 2020
Machine learning › Efficient and distributed learning › automated machine learning neural architecture search	0.1	1	2020	Towards Fast Adaptation of Neural Architectures with Meta Learning · ICLR 2020

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

meta-learning · 0.4

Year	Publication	Venue	Position
2020	Towards Fast Adaptation of Neural Architectures with Meta Learning Dongze Lian, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao	ICLR	3