D. Cohen, B. Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff,
"Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models"
: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), Association for Computing Machinery, New York, NY, USA, Seite(n) 654 - 664, 7-2021, ISBN: 9781450380379
Original Titel:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)