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Classifier Risk Estimation under Limited Labeling Resources
v1v2 (latest)

Classifier Risk Estimation under Limited Labeling Resources

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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