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 301–310 of 639 papers

TitleStatusHype
Pre- and In-Parsing Models for Neural Empty Category Detection—0
Efficient and Consistent Adversarial Bipartite Matching—0
Manifold Structured Prediction—0
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction—0
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations—0
Localized Structured Prediction—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Direct Shape Regression Networks for End-to-End Face Alignment—0
Training Structured Prediction Energy Networks with Indirect Supervision—0
Show:102550
← PrevPage 31 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified