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 561–570 of 639 papers

TitleStatusHype
Distributed Training of Structured SVM—0
Distributionally Robust Graphical Models—0
DiverseNet: When One Right Answer is not Enough—0
Document Context Neural Machine Translation with Memory Networks—0
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Dynamic Feature Selection for Dependency Parsing—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Effectiveness of Function Matching in Driving Scene Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified