Researchers Propose Mitigation Strategies to Tackle Overinterpretation of Deep Learning Methods

While neural networks can be trained to learn, understanding a machine’s decision-making process is challenging. According to MIT researchers, image classifiers are generally graded on their test set accuracy, but high accuracy can disguise a subtle sort of model failure. Even without semantically meaningful information, these models have high accuracy ratings. The classifier is referred […]

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