EXACT: How to train your accuracy

Published: 01 Jan 2024, Last Modified: 30 Sept 2024Pattern Recognit. Lett. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We show the limitations of surrogate losses in multi-class classification.•We propose a new optimization approach for classification tasks.•We propose a new gradient computation algorithm for the proposed loss function.•We show the benefits of the proposed method in a wide range of classification tasks.•We demonstrate robustness of the proposed optimization method to the uniform label noise.
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