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 431–440 of 639 papers

TitleStatusHype
Training Structured Prediction Energy Networks with Indirect Supervision—0
Transferring Coreference Resolvers with Posterior Regularization—0
Transforming Sequence Tagging Into A Seq2Seq Task—0
Twin gaussian processes for structured prediction—0
Type-aware Convolutional Neural Networks for Slot Filling—0
Uncertainty Estimation in Autoregressive Structured Prediction—0
Undirected Machine Translation with Discriminative Reinforcement Learning—0
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates—0
Unsupervised Cross-Lingual Representation Learning—0
Unsupervised Learning on an Approximate Corpus—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified