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
Direct Shape Regression Networks for End-to-End Face Alignment—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
Training Structured Prediction Energy Networks with Indirect Supervision—0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Distilling Knowledge for Search-based Structured PredictionCode0
Adversarial Constraint Learning for Structured PredictionCode0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Learning latent variable structured prediction models with Gaussian perturbations—0
Generative Code Modeling with GraphsCode0
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time—0
Show:102550
← PrevPage 31 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified