Papers with approximating inference
Benchmarking Approximate Inference Methods for Neural Structured Prediction (N19-1)
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| Challenge: | Structured prediction models often involve complex inference problems for which finding exact solutions is intractable. |
| Approach: | They propose to perform gradient descent with respect to the output structure directly and train a neural network to perform inference. |
| Outcome: | The proposed methods achieve better speed/accuracy/search error trade-off than gradient descent while being faster than exact inference at similar accuracy levels. |