y0news
AnalyticsDigestsSourcesTopicsRSSAICrypto

#semi-supervised-learning News & Analysis

5 articles tagged with #semi-supervised-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AIBullisharXiv – CS AI · Feb 277/108
🧠

A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning

Researchers introduce a Confidence-Variance (CoVar) theory framework that improves pseudo-label selection in semi-supervised learning by combining maximum confidence with residual-class variance. The method addresses overconfidence issues in deep networks and demonstrates consistent improvements across multiple datasets including PASCAL VOC, Cityscapes, CIFAR-10, and Mini-ImageNet.

$NEAR
AINeutralarXiv – CS AI · 4d ago6/10
🧠

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

Researchers propose GNN-as-Judge, a framework combining Large Language Models with Graph Neural Networks to improve learning on text-attributed graphs in low-resource settings. The approach uses collaborative pseudo-labeling and weakly-supervised fine-tuning to generate reliable labels while reducing noise, demonstrating significant performance gains when labeled data is scarce.

AINeutralarXiv – CS AI · Mar 34/104
🧠

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning

Researchers introduce Uncertainty Structure Estimation (USE), a new preprocessing method for semi-supervised learning that improves model reliability by filtering out low-quality unlabeled data. The approach uses entropy scores and statistical thresholds to identify and remove out-of-distribution samples before training, demonstrating consistent accuracy improvements across imaging and NLP tasks.

$NEAR