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Guoshuai Ma

1 accepted papers

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…

Cited by 1SourcePDFScholar