2024
Learning Multi-Task Sparse Representation Based on Fisher Information
AAAI 2024technical
Multi-task learning deals with multiple related tasks simultaneously by sharing knowledge. In a typical deep multi-task learning model, all tasks use the same feature space and share the latent knowledge. If the tasks are weakly correlated or some features are negatively correlated, sharing all know…