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"Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration ..."

Daniel Cohen et al. (2021)

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DOI: 10.1145/3404835.3462951

access: closed

type: Conference or Workshop Paper

metadata version: 2022-04-28

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  dblp key:
  - conf/sigir/CohenMLRE21
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  - https://dblp.org/rec/conf/sigir/CohenMLRE21
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR 2021: 654-664

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