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cs.LG2023
Importance of negative sampling in weak label learning
Ankit Shah, Fuyu Tang, Zelin Ye +2
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 negativ…
cs.LG2021★ 1 cited
Training image classifiers using Semi-Weak Label Data
Anxiang Zhang, Ankit Shah, Bhiksha Raj
In Multiple Instance learning (MIL), weak labels are provided at the bag level with only presence/absence information known. However, there is a considerable gap in performance in…