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QuantProb: Generalizing Probabilities along with Predictions for a
  Pre-trained Classifier

QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier

25 April 2023
Aditya Challa
Snehanshu Saha
S. Dhavala
    UQCV
ArXivPDFHTML

Papers citing "QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier"

4 / 4 papers shown
Title
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
167
404
0
12 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
126
0
03 Oct 2021
Calibrated Multiple-Output Quantile Regression with Representation
  Learning
Calibrated Multiple-Output Quantile Regression with Representation Learning
Shai Feldman
Stephen Bates
Yaniv Romano
44
32
0
02 Oct 2021
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
5,652
0
05 Dec 2016
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