Estimating the Accuracies of Multiple Classifiers Without Labeled Data

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Estimating the Accuracies of Multiple Classifiers Without Labeled Data

29 July 2014

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Papers citing "Estimating the Accuracies of Multiple Classifiers Without Labeled Data"

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Title
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Angéline Pouget Mohammad Yaghini Stephan Rabanser Nicolas Papernot 23 0 0 28 May 2025
Streaming algorithms for evaluating noisy judges on unlabeled data -- binary classification A. Corrada-Emmanuel 30 2 0 02 Jun 2023
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 96 32 0 26 Oct 2021
Detecting adversaries in Crowdsourcing Panagiotis A. Traganitis G. Giannakis 60 2 0 07 Oct 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 116 64 0 29 Jun 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 105 115 0 25 Jun 2021
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation Yiping Jin Akshay Bhatia Dittaya Wanvarie 79 9 0 20 Apr 2021
Bayesian Crowdsourcing with Constraints Panagiotis A. Traganitis G. Giannakis 64 1 0 20 Dec 2020
Independence Tests Without Ground Truth for Noisy Learners A. Corrada-Emmanuel Edward R. Pantridge Edward Zahrebelski Aditya Chaganti Simeon Simeonov 36 0 0 28 Oct 2020
Unsupervised Ensemble Classification with Sequential and Networked Data Panagiotis A. Traganitis G. Giannakis BDL 15 2 0 22 Jun 2019
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent Lance Chin-Teng Lin 23 3 0 12 May 2018
Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions M. Ahsen Robert M. Vogel G. Stolovitzky 20 4 0 13 Feb 2018
Unsupervised Ensemble Regression Omer Dror B. Nadler E. Bilal Y. Kluger 44 3 0 08 Mar 2017
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness Nihar B. Shah Sivaraman Balakrishnan Martin J. Wainwright FedML 92 44 0 30 Jun 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 282 2,406 0 21 Jun 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure Jacob Steinhardt Percy Liang 110 34 0 16 Jun 2016
A Deep Learning Approach to Unsupervised Ensemble Learning Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe B. Nadler Joseph T. Chang Y. Kluger UQCV 83 35 0 06 Feb 2016
Unsupervised Ensemble Learning with Dependent Classifiers Ariel Jaffe Ethan Fetaya B. Nadler Tingting Jiang Y. Kluger UQCV 62 45 0 20 Oct 2015