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Showing 1 to 1 of 1 for “"causality, model robustness"”.
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A causal perspective on model robustness: case studies in health and sensor data
Robustness of predictive deep models is a challenging problem with many implications. It is of particular importance when models are used in safety-critical applications, such as healthcare. However, there is yet to be agreement on a comprehensive definition on what it means for a model to be …