Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
New refined labels for the MusicNet dataset obtained by the EM process as described in the paper: Ben Maman and Amit Bermano, "Unaligned Supervision for Automatic Music Transcription in The Wild"