When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking.
Peisong WenQianqian XuZhiyong YangYuan HeQingming HuangPublished in: NeurIPS (2021)
Keyphrases
- end to end
- false positives
- false positive rate
- false negative
- high detection rate
- true positive
- detection rate
- low false positive rate
- admission control
- number of false positives
- high bandwidth
- congestion control
- wireless ad hoc networks
- ad hoc networks
- multipath
- ranking algorithm
- learning to rank
- computer vision
- joint optimization
- rate allocation
- computational complexity
- face recognition