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 621–630 of 639 papers

TitleStatusHype
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
Object Detection with Grammar Models—0
Maximum Margin Multi-Label Structured Prediction—0
Efficient Multi-Template Learning for Structured Prediction—0
Energy Disaggregation via Discriminative Sparse Coding—0
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces—0
Direct Loss Minimization for Structured Prediction—0
Sidestepping Intractable Inference with Structured Ensemble Cascades—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified