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 601639 of 639 papers

TitleStatusHype
Supervised Neural Clustering via Latent Structured Output Learning: Application to Question IntentsCode0
Unsupervised Neural Dependency ParsingCode0
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot ModelsCode0
Semi-supervised Structured Prediction with Neural CRF AutoencoderCode0
Coalescing Global and Local Information for Procedural Text UnderstandingCode0
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on GraphsCode0
Memory Augmented Policy Optimization for Program Synthesis and Semantic ParsingCode0
Convolutional Pose MachinesCode0
Convolutional Color ConstancyCode0
CF-OPT: Counterfactual Explanations for Structured PredictionCode0
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
Input Convex Neural NetworksCode0
Structured Prediction Helps 3D Human Motion ModellingCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation ExtractionCode0
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
Mixture of Soft Prompts for Controllable Data GenerationCode0
Constraining Linear-chain CRFs to Regular LanguagesCode0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
Abstract Meaning Representation Parsing using LSTM Recurrent Neural NetworksCode0
Calibrated Structured PredictionCode0
Structured prediction models for RNN based sequence labeling in clinical textCode0
Joint Event Extraction via Recurrent Neural NetworksCode0
Transforming Dependencies into Phrase StructuresCode0
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable ModelsCode0
Active Learning amidst Logical KnowledgeCode0
A Unified View of Evaluation Metrics for Structured PredictionCode0
Label-Agnostic Sequence Labeling by Copying Nearest NeighborsCode0
To be Continuous, or to be Discrete, Those are Bits of QuestionsCode0
Structured Prediction Problem ArchiveCode0
Multi-Task Spatiotemporal Neural Networks for Structured Surface ReconstructionCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Promptly Predicting Structures: The Return of InferenceCode0
Benchmarking Approximate Inference Methods for Neural Structured PredictionCode0
Situation Recognition: Visual Semantic Role Labeling for Image UnderstandingCode0
Lazy-k: Decoding for Constrained Token ClassificationCode0
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with KernelsCode0
Neural Networks for Joint Sentence Classification in Medical Paper AbstractsCode0
Conformal Structured PredictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8Unverified