Self-supervised learning aims to extract meaningful features from unlabe...
Bayesian Neural Networks (BNNs) offer a probabilistic interpretation for...
Online Class Incremental learning (CIL) is a challenging setting in Cont...
Multi-Task Learning (MTL) is a widely-used and powerful learning paradig...
Sampling from an unnormalized target distribution is an essential proble...
Despite superior performance in many situations, deep neural networks ar...
This paper proposed a new methodology for machine learning in 2-dimensio...