main webpage W Topic Philosophy arXiv (Cornell University) Identifying Spurious Correlations and Correcting them with an Explanation-based Learning 2022 Identifying spurious correlations learned by a trained model is at the core of refining a trained model and building a trustworthy model. We present a simple method to identify spurious correlations that have been learned by a model trained for image classifi… Article Open Philosophy Open Article Page

Philosophy

Study of general and fundamental questions Philosophy ('love of wisdom' in Ancient Greek) is a systematic study of general and fundamental questions concerning topics like existence, reason, knowledge, value, mind, and language. It is a rational and critical inquiry that reflects on its methods and assumptions. Historically, many of the individual sciences, such as physics and psychology, formed part of philosophy. However, they are considered separate academic disciplines in the modern sense of the term. Influential traditions in the history of philosophy include Western, Arabic–Persian, Indian, and Chinese philosophy. Western philosophy originated in Ancient Greece and covers a wide area of philosophical subfields. Critical Symbolic Virtual Narrative Open Philosophy Open Article Page

Exploring foci of: arXiv (Cornell University) Identifying Spurious Correlations and Correcting them with an Explanation-based Learning 2022 Identifying spurious correlations learned by a trained model is at the core of refining a trained model and building a trustworthy model. We present a simple method to identify spurious correlations that have been learned by a model trained for image classification problems. We apply image-level perturbations and monitor changes in certainties of predictions made using the trained model. We demonstrate this approach using an image classification dataset that contains images with synthetically generated spurious re… Open Article Page

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Explore Philosophy W Topic Philosophy arXiv (Cornell University) Identifying Spurious Correlations and Correcting them with an Explanation-based Learning 2022 Identifying spurious correlations learned by a trained model is at the core of refining a trained model and building a trustworthy model. We present a simple method to identify spurious correlations that have been learned by a model trained for image classifi… Article Critical Symbolic Virtual Narrative Open Philosophy Open Article Page