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Found 3 papers, 1 papers with code
Improved optimization strategies for deep Multi-Task Networks
In Multi-Task Learning (MTL), it is a common practice to train multi-task networks by optimizing an objective function, which is a weighted average of the task-specific objective functions.
Maximum Roaming Multi-Task Learning
Multi-task learning has gained popularity due to the advantages it provides with respect to resource usage and performance.
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
In recent years, representation learning approaches have disrupted many multimedia computing tasks.
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