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

Showing 141150 of 639 papers

TitleStatusHype
A Structured Prediction Approach for Label RankingCode0
Structured Prediction for Conditional Meta-LearningCode0
Efficient Sub-structured Knowledge DistillationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Deep Sketched Output Kernel Regression for Structured PredictionCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Feature Space Optimization for Semantic Video SegmentationCode0
Deep Structured Energy-Based Image InpaintingCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Convolutional Pose MachinesCode0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8Unverified