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 361–370 of 639 papers

TitleStatusHype
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
IllinoisSL: A JAVA Library for Structured Prediction—0
Imitation learning for language generation from unaligned data—0
Imitation learning for structured prediction in natural language processing—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Improved CCG Parsing with Semi-supervised Supertagging—0
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training—0
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks—0
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction—0
Increasing the Generalisation Capacity of Conditional VAEs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified