Improving Joint Training of Inference Networks and Structured Prediction Energy Networks

7 Nov 2019Lifu TuRichard Yuanzhe PangKevin Gimpel

Deep energy-based models are powerful, but pose challenges for learning and inference (Belanger and McCallum, 2016). Tu and Gimpel (2018) developed an efficient framework for energy-based models by training "inference networks" to approximate structured inference instead of using gradient descent... (read more)

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