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RECORD: Resource Constrained Semi-Supervised Learning under..:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Guo, Lan-Zhe
;
Zhou, Zhi
;
Li, Yu-Feng
- p. 1636-1644 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3403214
RT T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3403214&Exemplar=1&LAN=DE A1 Guo, Lan-Zhe A1 Zhou, Zhi A1 Li, Yu-Feng PB ACM YR 2020 K1 distribution shift K1 resource constraint K1 semi-supervised learning K1 Computing methodologies K1 Machine learning K1 Information systems K1 Information systems applications K1 Data mining SP 1636 OP 1644 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403214 DO https://dl.acm.org/doi/10.1145/3394486.3403214 SF ELIB - SuUB Bremen
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