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

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Showing 401–425 of 639 papers

TitleStatusHype
Log-time and Log-space Extreme ClassificationCode0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesCode0
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
Research on attention memory networks as a model for learning natural language inference—0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)—0
A Joint Model of Rhetorical Discourse Structure and Summarization—0
Proceedings of the Workshop on Structured Prediction for NLP—0
Regularizing Text Categorization with Clusters of Words—0
Unsupervised Neural Dependency ParsingCode0
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak SupervisionCode0
Automatic measurement of vowel duration via structured predictionCode0
Sequence Segmentation Using Joint RNN and Structured Prediction Models—0
Frank-Wolfe Algorithms for Saddle Point ProblemsCode0
Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions—0
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities—0
Input Convex Neural NetworksCode0
Gray-box inference for structured Gaussian process models—0
Reward Augmented Maximum Likelihood for Neural Structured Prediction—0
Learning to generalize to new compositions in image understanding—0
Estimation from Indirect Supervision with Linear MomentsCode0
Canonical Correlation Inference for Mapping Abstract Scenes to Text—0
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified