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 391–400 of 639 papers

TitleStatusHype
Deep Metric Learning via Facility LocationCode0
Commonly Uncommon: Semantic Sparsity in Situation RecognitionCode0
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects—0
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information—0
Imitation learning for language generation from unaligned data—0
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation ExtractionCode0
Machine Learning for Metrical Analysis of English Poetry—0
Active learning with version spaces for object detection—0
Structured Prediction by Conditional Risk Minimization—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
Show:102550
← PrevPage 40 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified