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 571–580 of 639 papers

TitleStatusHype
SpeedMachines: Anytime Structured Prediction—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
Learning Adaptive Value of Information for Structured Prediction—0
Latent Structured Active Learning—0
Learning Stochastic Feedforward Neural Networks—0
On the definition of a general learning system with user-defined operators—0
A Structured Prediction Approach for Missing Value Imputation—0
Large Margin Semi-supervised Structured Output Learning—0
Dynamic Feature Selection for Dependency Parsing—0
Global Model for Hierarchical Multi-Label Text Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified