Tag: multi-task learning
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Orthogonal Task Decomposition for Multi-Modal Clinical Data
Discover how Orthogonal Task Decomposition improves multi-task learning from multi-modal clinical data, boosting prediction accuracy in healthcare.
APEX: Predicting AI-Generated Music Popularity with Aesthetics
Discover APEX, a large-scale AI framework that predicts popularity of AI-generated music by integrating aesthetic quality and engagement metrics.
RadLite: Efficient CPU Radiology AI with LoRA Fine-Tuning
RadLite uses LoRA fine-tuning on small language models for multi-task radiology AI, enabling CPU deployment and high accuracy in clinical settings.
Multi-Head RoBERTa for Political Evasion Detection SemEval-2026
Discover SG-UniBuc-NLP's multi-head RoBERTa model with chunking for effective long-context political evasion detection at SemEval-2026 Task 6.
EEG-Based Dementia Diagnosis with Task-Guided Spatiotemporal Network
Discover how a task-guided spatiotemporal network with diffusion augmentation improves EEG-based dementia diagnosis and MMSE prediction accuracy.