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

Showing 101150 of 639 papers

TitleStatusHype
Calibrated Structured PredictionCode0
An Empirical Investigation of Beam-Aware Training in SupertaggingCode0
Abstract Meaning Representation Parsing using LSTM Recurrent Neural NetworksCode0
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural NetworkCode0
Automatic measurement of vowel duration via structured predictionCode0
CF-OPT: Counterfactual Explanations for Structured PredictionCode0
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific AbstractsCode0
Input Convex Neural NetworksCode0
Joint Event Extraction via Recurrent Neural NetworksCode0
Learning Randomly Perturbed Structured Predictors for Direct Loss MinimizationCode0
PAC Prediction Sets for Large Language Models of CodeCode0
Coalescing Global and Local Information for Procedural Text UnderstandingCode0
Promptly Predicting Structures: The Return of InferenceCode0
A Unified View of Evaluation Metrics for Structured PredictionCode0
Co-Generation with GANs using AIS based HMCCode0
A Probabilistic Generative Grammar for Semantic ParsingCode0
Commonly Uncommon: Semantic Sparsity in Situation RecognitionCode0
Reducing Model Churn: Stable Re-training of Conversational AgentsCode0
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on GraphsCode0
Graph Structured Prediction Energy NetworksCode0
Adversarial Constraint Learning for Structured PredictionCode0
SEARNN: Training RNNs with Global-Local LossesCode0
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired DataCode0
Conformal Structured PredictionCode0
Generative Code Modeling with GraphsCode0
A Smoother Way to Train Structured Prediction ModelsCode0
Graph-to-Graph Transformer for Transition-based Dependency ParsingCode0
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Feedforward semantic segmentation with zoom-out featuresCode0
Frank-Wolfe Algorithms for Saddle Point ProblemsCode0
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFsCode0
Deep Metric Learning via Lifted Structured Feature EmbeddingCode0
Deep Metric Learning via Facility LocationCode0
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument TemplatesCode0
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in SanskritCode0
Estimation from Indirect Supervision with Linear MomentsCode0
Evidence > Intuition: Transferability Estimation for Encoder SelectionCode0
Deep Functional Maps: Structured Prediction for Dense Shape CorrespondenceCode0
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural NetworksCode0
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology ImagesCode0
A Structured Prediction Approach for Label RankingCode0
Structured Prediction for Conditional Meta-LearningCode0
Efficient Sub-structured Knowledge DistillationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Deep Sketched Output Kernel Regression for Structured PredictionCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Feature Space Optimization for Semantic Video SegmentationCode0
Deep Structured Energy-Based Image InpaintingCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Convolutional Pose MachinesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8Unverified