Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Kareem AhmedStefano TesoPaolo MorettinLuca Di LielloPierfrancesco ArdinoJacopo GobbiYitao LiangEric WangKai-Wei ChangAndrea PasseriniGuy Van den BroeckPublished in: CoRR (2024)
Keyphrases
- loss function
- structured prediction
- maximum margin
- support vector
- pairwise
- conditional random fields
- efficient learning
- markov networks
- learning models
- latent variables
- convex optimization
- approximate inference
- belief networks
- decision trees
- special case
- feature space
- hyperplane
- graphical models
- semi supervised
- multi class
- probabilistic model