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 76–100 of 639 papers

TitleStatusHype
DOGE-Train: Discrete Optimization on GPU with End-to-end TrainingCode1
Importance Weighted Structure Learning for Scene Graph Generation—0
Learning Constrained Structured Spaces with Application to Multi-Graph MatchingCode0
Learning with Limited Text Data—0
Neural Structured Prediction for Inductive Node ClassificationCode1
CrossBeam: Learning to Search in Bottom-Up Program SynthesisCode1
Transforming Sequence Tagging Into A Seq2Seq Task—0
Efficient Sub-structured Knowledge DistillationCode0
Structured Multi-task Learning for Molecular Property PredictionCode1
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Measuring and Reducing Model Update Regression in Structured Prediction for NLP—0
Structured Prediction Problem ArchiveCode0
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of GarmentsCode1
Constrained Structure Learning for Scene Graph Generation—0
Neuro-Symbolic Entropy Regularization—0
Predictive Inference with Weak Supervision—0
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
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
Towards Sharper Generalization Bounds for Structured Prediction—0
Safe Screening for Sparse Conditional Random Fields—0
Multi-fidelity Stability for Graph Representation Learning—0
FastDOG: Fast Discrete Optimization on GPUCode1
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified