2 citations · 3 across the 6 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
Julian Minder, Florian Grötschla, Joël Mathys +1
We introduce an extension to the CLRS algorithmic learning benchmark, prioritizing scalability and the utilization of sparse representations. Many algorithms in CLRS require global…
cs.SD2023★ 1 cited
DISCO-10M: A Large-Scale Music Dataset
Luca A. Lanzendörfer, Florian Grötschla, Emil Funke +1
Music datasets play a crucial role in advancing research in machine learning for music. However, existing music datasets suffer from limited size, accessibility, and lack of audio…