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 151–160 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 Unified Framework for Structured Prediction: From Theory to Practice—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
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Direct Shape Regression Networks for End-to-End Face Alignment—0
A Study of State Aliasing in Structured Prediction with RNNs—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Show:102550
← PrevPage 16 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified