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Classifier Risk Estimation under Limited Labeling Resources
v1v2 (latest)

Classifier Risk Estimation under Limited Labeling Resources

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016
9 July 2016
Anurag Kumar
Bhiksha Raj
ArXiv (abs)PDFHTML

Papers citing "Classifier Risk Estimation under Limited Labeling Resources"

7 / 7 papers shown
Scaling Up Active Testing to Large Language Models
Scaling Up Active Testing to Large Language Models
Gabrielle Berrada
Jannik Kossen
Muhammed Razzak
Freddie Bickford-Smith
Y. Gal
Tom Rainforth
ALM
222
3
0
12 Aug 2025
D-CALM: A Dynamic Clustering-based Active Learning Approach for
  Mitigating Bias
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating BiasAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sabit Hassan
Malihe Alikhani
AI4CE
205
17
0
26 May 2023
CEREAL: Few-Sample Clustering Evaluation
CEREAL: Few-Sample Clustering Evaluation
Nihal V. Nayak
Ethan R. Elenberg
Clemens Rosenbaum
289
0
0
30 Sep 2022
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
116
4
0
11 Apr 2021
Active Testing: Sample-Efficient Model Evaluation
Active Testing: Sample-Efficient Model EvaluationInternational Conference on Machine Learning (ICML), 2021
Jannik Kossen
Sebastian Farquhar
Y. Gal
Tom Rainforth
VLM
354
80
0
09 Mar 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian InferenceNeural Information Processing Systems (NeurIPS), 2020
Disi Ji
Padhraic Smyth
M. Steyvers
234
54
0
19 Oct 2020
Online Active Model Selection for Pre-trained Classifiers
Online Active Model Selection for Pre-trained ClassifiersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Mohammad Reza Karimi
Nezihe Merve Gürel
Bojan Karlavs
Johannes Rausch
Ce Zhang
Andreas Krause
313
25
0
19 Oct 2020
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