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 191–200 of 639 papers

TitleStatusHype
Large scale evaluation of importance maps in automatic speech recognition—0
Learning Composable Energy Surrogates for PDE Order Reduction—0
The Structured Weighted Violations MIRACode0
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge—0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Structured Prediction for Conditional Meta-LearningCode0
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding—0
Uncertainty Estimation in Autoregressive Structured Prediction—0
On the Discrepancy between Density Estimation and Sequence Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified