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 551–560 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified