Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs

We approach structured output prediction by optimizing a deep value network (DVN) to precisely estimate the task loss on different output configurations for a given input. Once the model is trained, we perform inference by gradient descent on the continuous relaxations of the output variables to find outputs with promising scores from the value network... (read more)

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