A team of researchers has developed an innovative Decoupled Feature Learning (DFL) framework to address distribution bias in crop pest recognition. The framework uses…
Browsing: Causal Inference
The demand for AI experts is increasing as the technology continues to advance. Some of the key skills that will be in demand in…
This article discusses the importance of causal inference in artificial intelligence and machine learning, and how information theory can be used to improve causal…
This talk will discuss how causal inference can be used to more reliably evaluate the performance and equity implications of machine learning algorithms used…