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 151–200 of 639 papers

TitleStatusHype
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired DataCode0
Dense and Low-Rank Gaussian CRFs Using Deep EmbeddingsCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
Adversarial Constraint Learning for Structured PredictionCode0
A Unified View of Evaluation Metrics for Structured PredictionCode0
A Structured Prediction Approach for Label RankingCode0
Feature Space Optimization for Semantic Video SegmentationCode0
Learning Constrained Structured Spaces with Application to Multi-Graph MatchingCode0
Structured Prediction for Conditional Meta-LearningCode0
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument TemplatesCode0
Automatic measurement of vowel duration via structured predictionCode0
Learning the Relation between Code Features and Code Transforms with Structured PredictionCode0
Feedforward semantic segmentation with zoom-out featuresCode0
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural NetworkCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Lifting Weak Supervision To Structured PredictionCode0
Convolutional Pose MachinesCode0
Convolutional Color ConstancyCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the WildCode0
Bayesian Structured Prediction Using Gaussian ProcessesCode0
Constraining Linear-chain CRFs to Regular LanguagesCode0
Evidence > Intuition: Transferability Estimation for Encoder SelectionCode0
Estimation from Indirect Supervision with Linear MomentsCode0
Benchmarking Approximate Inference Methods for Neural Structured PredictionCode0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
On the Use of ArXiv as a DatasetCode0
PAC Prediction Sets for Large Language Models of CodeCode0
Promptly Predicting Structures: The Return of InferenceCode0
Reasoning about Actions and State Changes by Injecting Commonsense KnowledgeCode0
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural NetworksCode0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
ReSeg: A Recurrent Neural Network-based Model for Semantic SegmentationCode0
Efficient Sub-structured Knowledge DistillationCode0
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFsCode0
SparseMAP: Differentiable Sparse Structured InferenceCode0
Consistent Multitask Learning with Nonlinear Output Relations—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Agreement on Target-bidirectional Neural Machine Translation—0
Computing a partition function of a generalized pattern-based energy over a semiring—0
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing—0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Comparative Analysis between Notations to Classify Named Entities using Conditional Random Fields—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Active Learning in Video Tracking—0
Compact Representation of Uncertainty in Clustering—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser—0
Show:102550
← PrevPage 4 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified