Explore the role of labeled data in machine learning, the challenges it presents, techniques and the future of data labeling.

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...

The coauthors trained wav2vec 2.0 on several unlabeled and labeled data sources for up to 5.2 days at a time on 128 Nvidia V100 graphics cards to evaluate the system’s performance.