Transition matrices of different noise types (using 5 classes as an

Transition matrices of different noise types (using 5 classes as an

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Average test accuracy on CIFAR100 over the last ten epoch

Revisiting the Transition Matrix-Based Concept Drift Approach: Improving the Detection Task Reliability Through Additional Experimentation

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Quanming YAO, Tenure-track Assistant Professor, PhD

Weihua HU, Master of Science, Stanford University, CA

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Example of noise transition matrix Q (taking six classes and a noise

A selection of images from the ten classes of the CIFAR-10

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