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 131–140 of 639 papers

TitleStatusHype
A Boosted Semi-Markov Perceptron—0
Discriminative Segmental Cascades for Feature-Rich Phone Recognition—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Discovering Hypernymy Relations using Text Layout—0
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates—0
Automatic Measurement of Pre-aspiration—0
Adversarial Structured Prediction for Multivariate Measures—0
Discrete Sequential Prediction of Continuous Actions for Deep RL—0
Distributed Training of Structured SVM—0
Document Context Neural Machine Translation with Memory Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified