research
∙
09/20/2023
Are Large Language Models Really Robust to Word-Level Perturbations?
The swift advancement in the scale and capabilities of Large Language Mo...
share
research
∙
04/15/2023
Multi-View Graph Representation Learning Beyond Homophily
Unsupervised graph representation learning(GRL) aims to distill diverse ...
research
∙
12/06/2022
Data Imputation with Iterative Graph Reconstruction
Effective data imputation demands rich latent “structure" discovery capa...
research
∙
07/19/2022
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
Feature selection is an important process in machine learning. It builds...
research
∙
06/19/2022
An Embedded Feature Selection Framework for Control
Reducing sensor requirements while keeping optimal control performance i...
research
∙
03/03/2022
Graph Representation Learning Beyond Node and Homophily
Unsupervised graph representation learning aims to distill various graph...
research
∙
12/11/2020
Pair-view Unsupervised Graph Representation Learning
Low-dimension graph embeddings have proved extremely useful in various d...
research
∙
02/28/2019
AFS: An Attention-based mechanism for Supervised Feature Selection
As an effective data preprocessing step, feature selection has shown its...
research
∙
01/12/2014
