2 papers
cs.LG2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty
Taejong Joo, Uijung Chung
From the statistical learning perspective, complexity control via explicit regularization is a necessity for improving the generalization of over-parameterized models. However, the…
cs.LG2020
Being Bayesian about Categorical Probability
Taejong Joo, Uijung Chung, Min-Gwan Seo
Neural networks utilize the softmax as a building block in classification tasks, which contains an overconfidence problem and lacks an uncertainty representation ability. As a Baye…