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 381–390 of 639 papers

TitleStatusHype
Structured Energy Network as a dynamic loss function. Case study. A case study with multi-label Classification—0
Structured Language Generation Model for Robust Structure Prediction—0
Structured Perceptron with Inexact Search—0
Structured Prediction by Conditional Risk Minimization—0
Structured Prediction Energy Networks—0
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension—0
Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms—0
Structured Prediction in NLP -- A survey—0
Structured Prediction in Online Learning—0
Structured Prediction of 3D Human Pose with Deep Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified