SOTAVerified

Structured Prediction

Structured Prediction is an area of machine learning focusing on representations of spaces with combinatorial structure, and algorithms for inference and parameter estimation over these structures. Core methods include both tractable exact approaches like dynamic programming and spanning tree algorithms as well as heuristic techniques such as linear programming relaxations and greedy search.

Source: Torch-Struct: Deep Structured Prediction Library

Papers

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Showing 431–440 of 639 papers

TitleStatusHype
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—0
Local Perturb-and-MAP for Structured Prediction—0
LSTM CCG Parsing—0
Machine Learning for Metrical Analysis of English Poetry—0
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes—0
Manifold Structured Prediction—0
Marginal Structured SVM with Hidden Variables—0
Margin-based Decomposed Amortized Inference—0
Mastering Sketching: Adversarial Augmentation for Structured Prediction—0
Maximum Margin Multi-Label Structured Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified