2 papers
quant-ph2025
Multiple Embeddings for Quantum Machine Learning
Siyu Han, Lihan Jia, Lanzhe Guo
This work focuses on the limitations about the insufficient fitting capability of current quantum machine learning methods, which results from the over-reliance on a single data em…
cs.LG2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
Rundong He, Yicong Dong, Lanzhe Guo +2
Semi-supervised learning (SSL) effectively leverages unlabeled data and has been proven successful across various fields. Current safe SSL methods believe that unseen classes in un…