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

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Showing 301–325 of 639 papers

TitleStatusHype
Direct Shape Regression Networks for End-to-End Face Alignment—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
Training Structured Prediction Energy Networks with Indirect Supervision—0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Distilling Knowledge for Search-based Structured PredictionCode0
Adversarial Constraint Learning for Structured PredictionCode0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Learning latent variable structured prediction models with Gaussian perturbations—0
Generative Code Modeling with GraphsCode0
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time—0
Adversarial Structure Matching for Structured Prediction TasksCode0
Portuguese Named Entity Recognition using Conditional Random Fields and Local Grammars—0
Fast View Synthesis with Deep Stereo Vision—0
Online Non-Additive Path Learning under Full and Partial Information—0
Learning Approximate Inference Networks for Structured PredictionCode1
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired DataCode0
Mapping Images to Scene Graphs with Permutation-Invariant Structured PredictionCode0
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction—0
SparseMAP: Differentiable Sparse Structured InferenceCode0
Differentiable Dynamic Programming for Structured Prediction and Attention—0
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural NetworkCode0
Deep Structured Energy-Based Image InpaintingCode0
Multi-Task Spatiotemporal Neural Networks for Structured Surface ReconstructionCode0
Residual Loss Prediction: Reinforcement Learning With No Incremental FeedbackCode0
Adversarial Structured Prediction for Multivariate Measures—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified