Deng-Bao Wang's repositories
Mixup-Inference-in-Training
This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of empirical studies showing the calibration issue of Mixup, and propose a new mixup training strategy to address this issue.
calibration_library
Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
MAUCpy
Multi-Objective Area Under Curve in Python
temperature_scaling
A simple way to calibrate your neural network.
ups
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)