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 491–500 of 639 papers

TitleStatusHype
Partially Observed Maximum Entropy Discrimination Markov Networks—0
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank—0
Personalized Bundle List Recommendation—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Pixel Objectness—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Plug Latent Structures and Play Coreference Resolution—0
Portuguese Named Entity Recognition using Conditional Random Fields and Local Grammars—0
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified