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 321–330 of 639 papers

TitleStatusHype
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural NetworkCode0
Deep Structured Energy-Based Image InpaintingCode0
Multi-Task Spatiotemporal Neural Networks for Structured Surface ReconstructionCode0
Residual Loss Prediction: Reinforcement Learning With No Incremental FeedbackCode0
Adversarial Structured Prediction for Multivariate Measures—0
Structured Set Matching Networks for One-Shot Part Labeling—0
A Learning Error Analysis for Structured Prediction with Approximate Inference—0
On the Robustness of Semantic Segmentation Models to Adversarial AttacksCode0
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing—0
Dialogue Act Recognition via CRF-Attentive Structured Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified