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 271–280 of 639 papers

TitleStatusHype
Increasing the Generalisation Capacity of Conditional VAEs—0
A Joint Model of Rhetorical Discourse Structure and Summarization—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Active learning with version spaces for object detection—0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Iterative Instance Segmentation—0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction—0
Show:102550
← PrevPage 28 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified