Search Results for author: Yung-Chen Tang

Found 2 papers, 1 papers with code

NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration

1 code implementation29 Nov 2022 Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

With the advancement of deep learning technology, neural networks have demonstrated their excellent ability to provide accurate predictions in many tasks.

Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration

no code implementations23 Sep 2022 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.