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 176–200 of 639 papers

TitleStatusHype
Learning Constraints for Structured Prediction Using Rectifier NetworksCode0
Large scale evaluation of importance maps in automatic speech recognition—0
Learning Composable Energy Surrogates for PDE Order Reduction—0
The Structured Weighted Violations MIRACode0
StructPool: Structured Graph Pooling via Conditional Random FieldsCode1
Instance-Based Learning of Span Representations: A Case Study through Named Entity RecognitionCode1
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge—0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Structured Prediction with Partial Labelling through the Infimum LossCode1
Learning with Differentiable Perturbed OptimizersCode1
Structured Prediction for Conditional Meta-LearningCode0
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding—0
Uncertainty Estimation in Autoregressive Structured Prediction—0
On the Discrepancy between Density Estimation and Sequence Generation—0
Estimating Gradients for Discrete Random Variables by Sampling without ReplacementCode1
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
Torch-Struct: Deep Structured Prediction LibraryCode2
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured PredictionCode1
Predicting deliberative outcomes—0
Predicting deliberative outcomes—0
Active Learning in Video Tracking—0
Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies—0
Deep imitation learning for molecular inverse problems—0
Show:102550
← PrevPage 8 of 26Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified