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
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Neuro-Symbolic Constraint Programming for Structured Prediction—0
Set-to-Sequence Methods in Machine Learning: a Review—0
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot ModelsCode0
On the Fundamental Limits of Exact Inference in Structured Prediction—0
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates—0
Fast rates in structured prediction—0
Randomized Deep Structured Prediction for Discourse-Level Processing—0
Overparameterisation and worst-case generalisation: friend or foe?—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
Multi-Sense Language Modelling—0
Tensor Composition Net for Visual Relationship Prediction—0
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
Supertagging the Long Tail with Tree-Structured Decoding of Complex CategoriesCode0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
Learning with Differentiable Pertubed Optimizers—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension—0
An Empirical Exploration of Local Ordering Pre-training for Structured PredictionCode0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
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
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
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
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
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
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific KnowledgeCode0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Structured Prediction for Conditional Meta-LearningCode0
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language UnderstandingCode0
Uncertainty Estimation in Autoregressive Structured PredictionCode0
On the Discrepancy between Density Estimation and Sequence GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified