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07/05/2022
Unsupervised Crowdsourcing with Accuracy and Cost Guarantees
We consider the problem of cost-optimal utilization of a crowdsourcing p...
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10/19/2020
GANs for learning from very high class conditional noisy labels
We use Generative Adversarial Networks (GANs) to design a class conditio...
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01/12/2020
On Feature Interactions Identified by Shapley Values of Binary Classification Games
For feature selection and related problems, we introduce the notion of c...
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11/18/2019
Attribute noise robust binary classification
We consider the problem of learning linear classifiers when both feature...
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01/08/2019
Cost Sensitive Learning in the Presence of Symmetric Label Noise
In binary classification framework, we are interested in making cost sen...
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04/10/2018
