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 151–200 of 639 papers

TitleStatusHype
Deep Structured Prediction for Facial Landmark DetectionCode1
Hierarchical Poset Decoding for Compositional Generalization in Language—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—0
Structural Knowledge Distillation: Tractably Distilling Information for Structured PredictorCode0
An Empirical Investigation of Beam-Aware Training in SupertaggingCode0
On Long-Tailed Phenomena in Neural Machine TranslationCode1
Automated Concatenation of Embeddings for Structured PredictionCode1
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement LearningCode1
Adversarial Attack and Defense of Structured Prediction ModelsCode1
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks—0
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction—0
Towards Structured Prediction in Bioinformatics with Deep Learning—0
DiverseNet: When One Right Answer is not Enough—0
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsCode2
Learning Output Embeddings in Structured Prediction—0
Learning Randomly Perturbed Structured Predictors for Direct Loss MinimizationCode0
Explaining Fast Improvement in Online Imitation Learning—0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
Torch-Struct: Deep Structured Prediction LibraryCode2
Fairness constraints can help exact inference in structured prediction—0
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control—0
Structured and Localized Image Restoration—0
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable ModelsCode0
Syntactic Structure Distillation Pretraining For Bidirectional Encoders—0
Active Imitation Learning with Noisy GuidanceCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified