Statistical Learning
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling Shenbao Y u
By exploiting students' response logs, SCM aims to predict their exercise
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang 1, Mang Y e
Existing backdoor defense methods typically require either homogeneous assumption, validation datasets, or client optimization conflicts.
EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection
This study proposes a novel framework, Event-based Graph Spatiotemporal Sensitive Transformer (EGSST), for the exploitation of spatial and temporal properties of event data.
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Y unyue Wei 1, Vincent Zhuang
Using sparse GP models is a popular method for reducing the computational cost of BO.
