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Classifier Risk Estimation under Limited Labeling Resources
v1v2 (latest)

Classifier Risk Estimation under Limited Labeling Resources

9 July 2016
Anurag Kumar
Bhiksha Raj
ArXiv (abs)PDFHTML

Papers citing "Classifier Risk Estimation under Limited Labeling Resources"

4 / 4 papers shown
Title
D-CALM: A Dynamic Clustering-based Active Learning Approach for
  Mitigating Bias
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Sabit Hassan
Malihe Alikhani
AI4CE
63
10
0
26 May 2023
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine
  Learning Algorithms
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms
Huong Ha
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
43
3
0
11 Apr 2021
Active Testing: Sample-Efficient Model Evaluation
Active Testing: Sample-Efficient Model Evaluation
Jannik Kossen
Sebastian Farquhar
Y. Gal
Tom Rainforth
VLM
91
53
0
09 Mar 2021
Online Active Model Selection for Pre-trained Classifiers
Online Active Model Selection for Pre-trained Classifiers
Mohammad Reza Karimi
Nezihe Merve Gürel
Bojan Karlavs
Johannes Rausch
Ce Zhang
Andreas Krause
85
22
0
19 Oct 2020
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