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 576–600 of 639 papers

TitleStatusHype
On the definition of a general learning system with user-defined operators—0
A Structured Prediction Approach for Missing Value Imputation—0
Large Margin Semi-supervised Structured Output Learning—0
Dynamic Feature Selection for Dependency Parsing—0
Global Model for Hierarchical Multi-Label Text Classification—0
A Constrained Latent Variable Model for Coreference Resolution—0
Online Learning for Inexact Hypergraph Search—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
Overcoming the Lack of Parallel Data in Sentence Compression—0
Feature Noising for Log-Linear Structured Prediction—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
Learning Max-Margin Tree Predictors—0
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction—0
Sentence Compression with Joint Structural Inference—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Joint Event Extraction via Structured Prediction with Global Features—0
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction—0
The Effect of Higher-Order Dependency Features in Discriminative Phrase-Structure Parsing—0
Margin-based Decomposed Amortized Inference—0
Online Relative Margin Maximization for Statistical Machine Translation—0
A Boosted Semi-Markov Perceptron—0
Bayesian Structured Prediction Using Gaussian ProcessesCode0
Part-Based Visual Tracking with Online Latent Structural Learning—0
GeoF: Geodesic Forests for Learning Coupled Predictors—0
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified