2 papers
cs.LG2023
Towards Unbiased Calibration using Meta-Regularization
Cheng Wang, Jacek Golebiowski
Model miscalibration has been frequently identified in modern deep neural networks. Recent work aims to improve model calibration directly through a differentiable calibration prox…
cs.LG2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
Cheng Wang, Carolin Lawrence, Mathias Niepert
Recurrent neural networks are a widely used class of neural architectures. They have, however, two shortcomings. First, they are often treated as black-box models and as such it is…