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 291–300 of 639 papers

TitleStatusHype
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach—0
Reasoning about Actions and State Changes by Injecting Commonsense KnowledgeCode0
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific AbstractsCode0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Helix: Accelerating Human-in-the-loop Machine Learning—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts—0
Memory Augmented Policy Optimization for Program Synthesis and Semantic ParsingCode0
A Structured Prediction Approach for Label RankingCode0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified