Yale researchers win award for best machine learning paper

Alexander Tong GRD '23, a computer science graduate student, and Smita Krishnaswamy, professor of genetics and computer science, won the award for best paper at the annual 2020 Machine Learning for Signal Processing conference, hosted by the Institute of Electrical and Electronics Engineers. From Sept. 21 to Sept. 24, the MLSP conference was hosted virtually at Aalto University in Espoo, Finland. Tong and Krishnaswamy's paper, "Fixing bias in reconstruction-based anomaly detection with Lipschitz discriminators," won the best student paper award alongside two other teams. The paper identified problems present in many machine learning based outlier detection models. The researchers found some cases where these systems do not work -- and this occurs quite often for data types found in bigger data sets.