Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

If you are interested in the background, motivations, research, and design process for this project, and especially if you'd like to contribute, please check out the video series. Please keep in mind ...