Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors

1 code implementation • 25 May 2023 • Jesse Cummings, Elías Snorrason, Jonas Mueller

We present a straightforward statistical test to detect certain violations of the assumption that the data are Independent and Identically Distributed (IID).

Identifying Incorrect Annotations in Multi-Label Classification Data

2 code implementations • 25 Nov 2022 • Aditya Thyagarajan, Elías Snorrason, Curtis Northcutt, Jonas Mueller

In multi-label classification, each example in a dataset may be annotated as belonging to one or more classes (or none of the classes).

Classification Label Error Detection +2