AI-Generated Mental Health Advice Must Shift From Discrete-Classifications To Continuous Multidimensional Psychological Analyses

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
IEEE

Tip-Adapter-SA: Training-Free CLIP-Adapter Enhanced by Semantic Alignment for Multi-Label Few-Shot Classification with Single Positive Labels

Abstract: Multi-label classification is a fundamental task that requires predicting all applicable labels for each sample. Previous methods often rely heavily on training models with large-scale multi ...
IEEE

Long-Tailed Multi-Label Learning: A Benchmark of Evaluation Metrics

Abstract: Long-tailed multi-label learning(LTMLL) addresses multi-label classification tasks under long-tailed label distributions. Challenges like class imbalance ...