Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning

Zengyao Li, Zhongyuan Han, Jiyin Cai, Zhijian Huang, Shaohua Huang, Leilei Kong. Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro 0001, Michalis Vlachos, editors, Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. Volume 3497 of CEUR Workshop Proceedings, pages 2695-2701, CEUR-WS.org, 2023. [doi]

@inproceedings{LiHCHHK23,
  title = {Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning},
  author = {Zengyao Li and Zhongyuan Han and Jiyin Cai and Zhijian Huang and Shaohua Huang and Leilei Kong},
  year = {2023},
  url = {https://ceur-ws.org/Vol-3497/paper-222.pdf},
  researchr = {https://researchr.org/publication/LiHCHHK23},
  cites = {0},
  citedby = {0},
  pages = {2695-2701},
  booktitle = {Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023},
  editor = {Mohammad Aliannejadi and Guglielmo Faggioli and Nicola Ferro 0001 and Michalis Vlachos},
  volume = {3497},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}