Soonwoo Kwon's repositories
CL-Baselines
This is a Pytorch implementation of contrastive Learning(CL) baselines.
Deep_Mahalanobis_Detector
Implementation of 'A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks'
RotNet-OOD
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
sooonwoo.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
error-detection
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Language:Jupyter NotebookMIT000
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Language:PythonApache-2.0000
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)