5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen
With the wide adoption of machine learning techniques, requirements have evolved beyond sheer high performance, often requiring models to be trustworthy. A common approach to incre…
cs.CL2023★ 5 cited
ScandEval: A Benchmark for Scandinavian Natural Language Processing
Dan Saattrup Nielsen
This paper introduces a Scandinavian benchmarking platform, ScandEval, which can benchmark any pretrained model on four different tasks in the Scandinavian languages. The datasets…