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 150 of 639 papers

TitleStatusHype
An Expression Tree Decoding Strategy for Mathematical Equation GenerationCode2
Torch-Struct: Deep Structured Prediction LibraryCode2
Connecting the Dots: Floorplan Reconstruction Using Two-Level QueriesCode2
Torch-Struct: Deep Structured Prediction LibraryCode2
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsCode2
Structured Multi-task Learning for Molecular Property PredictionCode1
SPEECH: Structured Prediction with Energy-Based Event-Centric HyperspheresCode1
Thinking Fast and Slow with Deep Learning and Tree SearchCode1
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured PredictionCode1
Instance-Based Learning of Span Representations: A Case Study through Named Entity RecognitionCode1
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of GarmentsCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
SpEL: Structured Prediction for Entity LinkingCode1
Structured Prediction with Partial Labelling through the Infimum LossCode1
Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output GenerationCode1
Energy-Based Learning for Scene Graph GenerationCode1
Deep Structured Prediction for Facial Landmark DetectionCode1
Estimating Gradients for Discrete Random Variables by Sampling without ReplacementCode1
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedbackCode1
Interscript: A dataset for interactive learning of scripts through error feedbackCode1
Learning with Differentiable Perturbed OptimizersCode1
Modeling Label Space Interactions in Multi-label Classification using Box EmbeddingsCode1
Neural Structured Prediction for Inductive Node ClassificationCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
RxnScribe: A Sequence Generation Model for Reaction Diagram ParsingCode1
Autoregressive Structured Prediction with Language ModelsCode1
StructPool: Structured Graph Pooling via Conditional Random FieldsCode1
Structured Output Learning with Conditional Generative FlowsCode1
Structured Prediction as Translation between Augmented Natural LanguagesCode1
Code4Struct: Code Generation for Few-Shot Event Structure PredictionCode1
Assignment-Space-Based Multi-Object Tracking and SegmentationCode1
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online LearningCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Adversarial Attack and Defense of Structured Prediction ModelsCode1
CrossBeam: Learning to Search in Bottom-Up Program SynthesisCode1
DOGE-Train: Discrete Optimization on GPU with End-to-end TrainingCode1
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
FastDOG: Fast Discrete Optimization on GPUCode1
Group-Wise Semantic Mining for Weakly Supervised Semantic SegmentationCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Active Imitation Learning with Noisy GuidanceCode1
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement LearningCode1
Learning Approximate Inference Networks for Structured PredictionCode1
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal LearningCode1
Automated Concatenation of Embeddings for Structured PredictionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
DEGREE: A Data-Efficient Generation-Based Event Extraction ModelCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8Unverified