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cs.LG2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang, Hao Cheng, Mingcai Chen +2
Modern neural networks are known to give overconfident prediction for out-of-distribution inputs when deployed in the open world. It is common practice to leverage a surrogate outl…
cs.LG2019
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem
Yi Zhang, Cheng Zeng, Hao Cheng +2
With the emergence of diverse data collection techniques, objects in real applications can be represented as multi-modal features. What's more, objects may have multiple semantic m…