543e83748234f7cbab21aa0ade66565f-Paper.pdf
–Neural Information Processing Systems
Efficient methods that reliably quantify a deep neural network (DNN)'s predictive uncertainty are important for industrial-scale, real-world applications, which include examples such as object recognition in autonomous driving [22], ad click prediction in online advertising [76], and intent understanding inaconversational system [84].
Neural Information Processing Systems
Feb-8-2026, 11:24:27 GMT