2024
Importance of Negative Sampling in Weak Label Learning
ICASSP 2024accepted
Weak-label learning is a challenging task that requires learning from data "bags" containing positive and negative instances, but only the bag labels are known. The pool of negative instances is usually larger than positive instances, thus making selecting the most informative negative instance crit…