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1 Ergebnisse
1
PEFA: Parameter-Free Adapters for Large-scale Embedding-bas..:
, In:
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
,
Chang, Wei-Cheng
;
Jiang, Jyun-Yu
;
Zhang, Jiong
... - p. 77-86 , 2024
Link:
https://dl.acm.org/doi/10.1145/3616855.3635791
RT T1 <cTitle>Proceedings of the 17th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3635791&Exemplar=1&LAN=DE A1 Chang, Wei-Cheng A1 Jiang, Jyun-Yu A1 Zhang, Jiong A1 Al-Darabsah, Mutasem A1 Teo, Choon Hui A1 Hsieh, Cho-Jui A1 Yu, Hsiang-Fu A1 Vishwanathan, S. V. N. PB ACM YR 2024 K1 bi-encoders K1 embedding-based retrieval K1 k-nearest neighbor models K1 parameter-free adapters K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Instance-based learning K1 Learning paradigms K1 Supervised learning SP 77 OP 86 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3616855.3635791 DO https://dl.acm.org/doi/10.1145/3616855.3635791 SF ELIB - SuUB Bremen
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