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 241–250 of 639 papers

TitleStatusHype
ODE-Inspired Network Design for Single Image Super-Resolution—0
Structured Output Learning with Conditional Generative FlowsCode1
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
Strategic Prediction with Latent Aggregative Games—0
Outline Generation: Understanding the Inherent Content Structure of Documents—0
Prototypical Bregman Networks—0
On the Use of ArXiv as a DatasetCode0
Structured Prediction using cGANs with Fusion Discriminator—0
Personalized Bundle List Recommendation—0
Learning to Stop in Structured Prediction for Neural Machine Translation—0
Show:102550
← PrevPage 25 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified