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 401–410 of 639 papers

TitleStatusHype
Structure Regularization for Structured Prediction—0
Structure Regularization for Structured Prediction: Theories and Experiments—0
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets—0
Fast rates in structured prediction—0
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding—0
Syntactic Structure Distillation Pretraining For Bidirectional Encoders—0
Syntax Aware LSTM model for Semantic Role Labeling—0
Tagging The Web: Building A Robust Web Tagger with Neural Network—0
Techniques for Learning Binary Stochastic Feedforward Neural Networks—0
Tell Me What You See and I will Show You Where It Is—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified