Collecting accurate and fine-grain information about the music people li...
The most common way to listen to recorded music nowadays is via streamin...
The role of recommendation systems in the diversity of content consumpti...
Collaborative Metric Learning (CML) recently emerged as a powerful parad...
The music genre perception expressed through human annotations of artist...
Graph autoencoders (AE) and variational autoencoders (VAE) are powerful ...
Distance metric learning based on triplet loss has been applied with suc...
We address the problem of disambiguating large scale catalogs through th...
We consider the task of multimodal music mood prediction based on the au...
In this paper, we propose to infer music genre embeddings from audio dat...