9 citations · 24 across the 12 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 1 cited
Learning with Noisy Labels over Imbalanced Subpopulations
MingCai Chen, Yu Zhao, Bing He +3
Learning with Noisy Labels (LNL) has attracted significant attention from the research community. Many recent LNL methods rely on the assumption that clean samples tend to have "sm…
cs.LG2022★ 3 cited
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting
Le Zhao, Mingcai Chen, Yuntao Du +2
As an important part of intelligent transportation systems, traffic forecasting has attracted tremendous attention from academia and industry. Despite a lot of methods being propos…
cs.CV2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Wenyu Jiang, Yuxin Ge, Hao Cheng +3
Detecting out-of-distribution (OOD) samples is crucial to the safe deployment of a classifier in the real world. However, deep neural networks are known to be overconfident for abn…