#hierarchical-classification News & Analysis

2 articles tagged with #hierarchical-classification. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 115/10

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Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning

Researchers propose a weighted loss function for neural networks that improves detection of rare hierarchical classes in multi-label classification tasks. By combining node-wise imbalance weighting with focal weighting based on ensemble uncertainties, the approach achieves up to 5x recall improvements and significant F1 score gains on benchmark datasets.

AINeutralarXiv – CS AI · Mar 34/105

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An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification

Researchers analyzed multi-task learning architectures for hierarchical classification of vehicle makes and models, testing CNN and Transformer models on StanfordCars and CompCars datasets. The study found that multi-task approaches improved performance for CNNs in almost all scenarios and yielded significant improvements for both model types on the CompCars dataset.