Curating Publications as Artefacts—Exploring Machine Learning Research in an Interactive Virtual Museum


The need for innovating scientific publications is felt across various research fields. In the last thirty years, the publishing process is accelerating, and new research is coming out every day. In Machine Learning, some attempts have been made to keep track of recent publications and to enhance articles for allowing authors to integrate multimedia contents. However, it is still hard to compare selected articles exhaustively. Thus, we envision a Machine Learning Papers Museum as a metaphorical solution for providing a digital space where users can explore publication collections in guided and serendipitous ways.

Beyond static papers: Rethinking how we share scientific understanding in ML-ICLR 2021 workshop