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 371–380 of 639 papers

TitleStatusHype
Inferring Interpersonal Relations in Narrative Summaries—0
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)—0
Integer Linear Programming formulations in Natural Language Processing—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
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
Joint Event Extraction via Structured Prediction with Global Features—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
Show:102550
← PrevPage 38 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified