When two numbers move together, it is tempting to think that one is the cause of the other. However, data can only confirm ...

AI models often rely on 'spurious correlations,' making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can ...

Self-supervised learning (SSL) approaches have recently become state-of-the-art (SOTA) for personalized recommendation. The core idea of SSL in recommendation is to learn better user and item ...

Discover the latest articles and news in related subjects. One important question is whether the magnitude of PEH depends on the general BP status of the individual. Greater PEH in individuals with ...

Here for spreading far and wide is (another) graphical reminder of the important distinction between correlation and causation. On correlation, causation, and the “real” cause of autism Created by ...

An example of spurious correlations in job recommendation, where the positive interactions with the full-time jobs show strong correlations with the users′ 4 and 6 years of experience. Disclaimer: ...

There’s been a lot of hand-wringing in recent years about the alarming rate at which bees have been disappearing. Despite the fact that Einstein probably never actually said that if the bees go man ...

Tyler Vigen’s book, Spurious Correlations, is warm, funny and makes several very important points. According to Vigen, his book is based on dozens of correlations between completely unrelated sets of ...