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 551–575 of 639 papers

TitleStatusHype
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—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
Direct Loss Minimization for Structured Prediction—0
Direct Shape Regression Networks for End-to-End Face Alignment—0
Discovering Hypernymy Relations using Text Layout—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
Distributed Training of Structured SVM—0
Distributionally Robust Graphical Models—0
DiverseNet: When One Right Answer is not Enough—0
Document Context Neural Machine Translation with Memory Networks—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
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Dynamic Feature Selection for Dependency Parsing—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis—0
Efficient and Consistent Adversarial Bipartite Matching—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses—0
Efficient multiple hyperparameter learning for log-linear models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified