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 221–230 of 639 papers

TitleStatusHype
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Structured Prediction Helps 3D Human Motion ModellingCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Text2Math: End-to-end Parsing Text into Math Expressions—0
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses—0
Type-aware Convolutional Neural Networks for Slot Filling—0
The Differentiable Cross-Entropy MethodCode0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker—0
Phrase Grounding by Soft-Label Chain Conditional Random FieldCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified