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 76–100 of 639 papers

TitleStatusHype
Learning Fast-Mixing Models for Structured PredictionCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Estimation from Indirect Supervision with Linear MomentsCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Benchmarking Approximate Inference Methods for Neural Structured PredictionCode0
Efficient Sub-structured Knowledge DistillationCode0
Bayesian Structured Prediction Using Gaussian ProcessesCode0
Adversarial Structure Matching for Structured Prediction TasksCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
An Empirical Investigation of Beam-Aware Training in SupertaggingCode0
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the WildCode0
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural NetworkCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
Automatic measurement of vowel duration via structured predictionCode0
Deep Structured Prediction with Nonlinear Output TransformationsCode0
Evidence > Intuition: Transferability Estimation for Encoder SelectionCode0
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural NetworksCode0
Dense and Low-Rank Gaussian CRFs Using Deep EmbeddingsCode0
Distilling Knowledge for Search-based Structured PredictionCode0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
Feedforward semantic segmentation with zoom-out featuresCode0
Active Learning amidst Logical KnowledgeCode0
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified