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1 Ergebnisse
1
Distill-VQ : Learning Retrieval Oriented Vector Quantiza..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Xiao, Shitao
;
Liu, Zheng
;
Han, Weihao
... - p. 1513-1523 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3531799
RT T1 <cTitle>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Distill-VQ : Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3531799&Exemplar=1&LAN=DE A1 Xiao, Shitao A1 Liu, Zheng A1 Han, Weihao A1 Zhang, Jianjin A1 Lian, Defu A1 Gong, Yeyun A1 Chen, Qi A1 Yang, Fan A1 Sun, Hao A1 Shao, Yingxia A1 Xie, Xing PB ACM YR 2022 K1 approximate nearest neighbour search K1 embedding based retrieval K1 knowledge distillation K1 vector quantization K1 Computing methodologies K1 Artificial intelligence K1 Search methodologies K1 Continuous space search SP 1513 OP 1523 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3531799 DO https://dl.acm.org/doi/10.1145/3477495.3531799 SF ELIB - SuUB Bremen
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