Model independence is defined by two conditions, no target model and a well-defined background, and deep-learning anomaly detection can meet them on a spectrum.
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Deep Learning and Model Independence
Model independence is defined by two conditions, no target model and a well-defined background, and deep-learning anomaly detection can meet them on a spectrum.