#imbalanced-data News & Analysis

2 articles tagged with #imbalanced-data. 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 26/10

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Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition

Researchers propose Self-Adaptive Monotonic Normalization (SAMN), a hyperparameter-friendly approach to improve long-tailed recognition in deep learning. The method eliminates the need for manual parameter tuning while achieving state-of-the-art performance by enforcing monotonic constraints on per-class weight norms during classifier retraining.