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
Distributionally Robust Graphical Models—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument TemplatesCode0
Learning Beam Search Policies via Imitation LearningCode0
Deep Structured Prediction with Nonlinear Output TransformationsCode0
Robust Spoken Term Detection Automatically Adjusted for a Given Threshold—0
Learning Discriminators as Energy Networks in Adversarial Learning—0
Semantics as a Foreign Language—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Better Transition-Based AMR Parsing with a Refined Search Space—0
Show:102550
← PrevPage 28 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified