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 241–250 of 639 papers

TitleStatusHype
Exact inference in structured prediction—0
Minimax bounds for structured prediction—0
Proceedings of the Third Workshop on Structured Prediction for NLP—0
SPARSE: Structured Prediction using Argument-Relative Structured Encoding—0
Structured Knowledge Distillation for Semantic SegmentationCode0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
ODE-Inspired Network Design for Single Image Super-Resolution—0
Neural Chinese Address Parsing—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
Strategic Prediction with Latent Aggregative Games—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified