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 71–80 of 639 papers

TitleStatusHype
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
An open-source tool for negation detection: a maximum-margin approach—0
Active Learning for Structured Prediction from Partially Labeled Data—0
Minimax bounds for structured prediction—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
An Introduction to Conditional Random Fields—0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
An Improved Non-monotonic Transition System for Dependency Parsing—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified