Paper "Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise" accepted at ICDE
The paper:
"Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise" by Cedric Renggli*, Luka Rimanic*, Luka Kolar*, Wentao Wu and Ce Zhang
has been accepted for presentation at the IEEE International Conference on Data Engineering (external pageICDE 2023), Anaheim, California, USA (April 3 – 7, 2023).
(* equal contribution)