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
End-to-End Learning for Structured Prediction Energy Networks—0
On Structured Prediction Theory with Calibrated Convex Surrogate LossesCode0
Belief Propagation in Conditional RBMs for Structured Prediction—0
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural NetworksCode0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Pixel Objectness—0
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos—0
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing—0
Neural Networks for Joint Sentence Classification in Medical Paper AbstractsCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified