MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

We propose to incorporate neural architecture search (NAS) into general-purpose multi-task learning (GP-MTL). Existing NAS methods typically define different search spaces according to different tasks... (read more)

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Methods used in the Paper


METHOD TYPE
Entropy Regularization
Regularization
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
Softmax
Output Functions
LSTM
Recurrent Neural Networks