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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 639 papers

TitleStatusHype
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
Dialogue Act Recognition via CRF-Attentive Structured Network—0
Differentiable Dynamic Programming for Structured Prediction and Attention—0
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge—0
End-to-End Learning for Structured Prediction Energy Networks—0
Direct Shape Regression Networks for End-to-End Face Alignment—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Discrete Sequential Prediction of Continuous Actions for Deep RL—0
Discriminative Metric Learning by Neighborhood Gerrymandering—0
Discriminative Segmental Cascades for Feature-Rich Phone Recognition—0
A Study of State Aliasing in Structured Prediction with RNNs—0
Distributed Training of Structured SVM—0
Efficient Structured Surrogate Loss and Regularization in Structured Prediction—0
DiverseNet: When One Right Answer is not Enough—0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
Document Context Neural Machine Translation with Memory Networks—0
A Learning Error Analysis for Structured Prediction with Approximate Inference—0
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Bayesian Kernel Methods for Natural Language Processing—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Dynamic Feature Selection for Dependency Parsing—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified