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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...
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04/15/2023
Multi-View Graph Representation Learning Beyond Homophily
Unsupervised graph representation learning(GRL) aims to distill diverse ...
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12/06/2022
Data Imputation with Iterative Graph Reconstruction
Effective data imputation demands rich latent “structure" discovery capa...
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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...
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06/19/2022
An Embedded Feature Selection Framework for Control
Reducing sensor requirements while keeping optimal control performance i...
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03/03/2022
Graph Representation Learning Beyond Node and Homophily
Unsupervised graph representation learning aims to distill various graph...
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12/11/2020
Pair-view Unsupervised Graph Representation Learning
Low-dimension graph embeddings have proved extremely useful in various d...
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02/28/2019
AFS: An Attention-based mechanism for Supervised Feature Selection
As an effective data preprocessing step, feature selection has shown its...
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01/12/2014