Long-tail learning via logit adjustment
AK Menon, S Jayasumana, AS Rawat, H Jain… - ar** with label shift via distributionally robust optimisation
The label shift problem refers to the supervised learning setting where the train and test
label distributions do not match. Existing work addressing label shift usually assumes …
label distributions do not match. Existing work addressing label shift usually assumes …
Bayesian nonparametric submodular video partition for robust anomaly detection
Multiple-instance learning (MIL) provides an effective way to tackle the video anomaly
detection problem by modeling it as a weakly supervised problem as the labels are usually …
detection problem by modeling it as a weakly supervised problem as the labels are usually …