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On the Calibration and Uncertainty of Neural Learning to Rank Models

On the Calibration and Uncertainty of Neural Learning to Rank Models

12 January 2021
Gustavo Penha
C. Hauff
ArXivPDFHTML

Papers citing "On the Calibration and Uncertainty of Neural Learning to Rank Models"

4 / 4 papers shown
Title
Recommendation Systems with Distribution-Free Reliability Guarantees
Recommendation Systems with Distribution-Free Reliability Guarantees
Anastasios Nikolas Angelopoulos
K. Krauth
Stephen Bates
Yixin Wang
Michael I. Jordan
17
12
0
04 Jul 2022
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue
  Dataset
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset
Nyoungwoo Lee
chaeHun Park
Ho-Jin Choi
23
0
0
01 Sep 2021
Response Ranking with Deep Matching Networks and External Knowledge in
  Information-seeking Conversation Systems
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang
Minghui Qiu
Chen Qu
J. Guo
Yongfeng Zhang
W. Bruce Croft
Jun Huang
Haiqing Chen
184
142
0
01 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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