: Unlike traditional methods that just count the number of samples, this approach adjusts the model's focus based on the "richness" of the data. It has shown significant performance boosts on standard datasets like CIFAR-100 and ImageNet-LT. 3. Psychological Intervention in Schizophrenia
: By improving the accuracy of nasal bone assessment in the first trimester, it provides a more reliable tool for early fetal health monitoring. 2. Machine Learning: Adaptive Diversity Induced Reweighting 107586
: Analyzing the link between metabolic health (like blood sugar and cholesterol) and cognitive function. : Unlike traditional methods that just count the
: Real-world data is often imbalanced; a few "head" categories have many samples, while "tail" categories have very few, leading AI models to ignore rare but important data. : Real-world data is often imbalanced; a few
: The model uses a multi-task learning framework that simultaneously performs detection and classification, reducing human error in busy clinical environments.