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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–460 of 639 papers

TitleStatusHype
Minimax bounds for structured prediction—0
Zero-shot Entity Extraction from Web Pages—0
Exact inference in structured prediction—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing—0
A Boosted Semi-Markov Perceptron—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation—0
A Consistent Regularization Approach for Structured Prediction—0
A Constrained Latent Variable Model for Coreference Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified