Papers with linguistic parameterization

1 papers
Learning with Latent Language (N18-1)

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Challenge: Using the space of natural language strings as a parameter space is an effective way to capture natural task structure.
Approach: They propose to use natural language as a parameter space for few-shot learning problems including classification, transduction and policy search.
Outcome: The proposed model outperforms models with a linguistic parameterization on image classification, text editing, and reinforcement learning.

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