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 401–450 of 639 papers

TitleStatusHype
The Sum-Product Theorem: A Foundation for Learning Tractable Models—0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
Log-time and Log-space Extreme ClassificationCode0
The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesCode0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)—0
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
Proceedings of the Workshop on Structured Prediction for NLP—0
Regularizing Text Categorization with Clusters of Words—0
Unsupervised Neural Dependency ParsingCode0
Research on attention memory networks as a model for learning natural language inference—0
A Joint Model of Rhetorical Discourse Structure and Summarization—0
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak SupervisionCode0
Automatic measurement of vowel duration via structured predictionCode0
Frank-Wolfe Algorithms for Saddle Point ProblemsCode0
Sequence Segmentation Using Joint RNN and Structured Prediction Models—0
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
Text Simplification as Tree Labeling—0
Structured prediction models for RNN based sequence labeling in clinical textCode0
Learning to Jointly Predict Ellipsis and Comparison Structures—0
Recognizing Salient Entities in Shopping Queries—0
Learning Structured Predictors from Bandit Feedback for Interactive NLP—0
Sequence-based Structured Prediction for Semantic Parsing—0
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning—0
A Probabilistic Generative Grammar for Semantic ParsingCode0
Slack and Margin Rescaling as Convex Extensions of Supermodular FunctionsCode0
Semi-supervised structured output prediction by local linear regression and sub-gradient descent—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Stochastic Structured Prediction under Bandit FeedbackCode0
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
Feature Space Optimization for Semantic Video SegmentationCode0
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss—0
Transition-Based Syntactic Linearization with Lookahead FeaturesCode0
LSTM CCG Parsing—0
Using Context to Predict the Purpose of Argumentative Writing Revisions—0
Weighting Finite-State Transductions With Neural Context—0
Situation Recognition: Visual Semantic Role Labeling for Image UnderstandingCode0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Joint Event Extraction via Recurrent Neural NetworksCode0
Structured Prediction of Unobserved Voxels From a Single Depth Image—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified