#weighted-loss News & Analysis

2 articles tagged with #weighted-loss. 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 · Jun 25/10

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Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing

Researchers propose a hybrid machine learning framework combining data-level and algorithm-level balancing techniques to address imbalanced regression problems, where underrepresented target values typically degrade model performance. The framework integrates adaptive partitioning, conditional variational autoencoders, strategic oversampling, and a novel weighted loss function to improve predictions on rare but important cases.