4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen +1
With the advancement of deep learning technology, neural networks have demonstrated their excellent ability to provide accurate predictions in many tasks. However, a lack of consid…
cs.LG2022★ 4 cited
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
Neural network calibration is an essential task in deep learning to ensure consistency between the confidence of model prediction and the true correctness likelihood. In this paper…