8 citations · 22 across the 8 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 2 cited
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi, Hao Wang, Yonglong Tian +2
Uncertainty estimation is an essential step in the evaluation of the robustness for deep learning models in computer vision, especially when applied in risk-sensitive areas. Howeve…
stat.ML2019★ 2 cited
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He +3
We consider the problem of inferring the values of an arbitrary set of variables (e.g., risk of diseases) given other observed variables (e.g., symptoms and diagnosed diseases) and…