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 126–150 of 639 papers

TitleStatusHype
Consistent Multitask Learning with Nonlinear Output Relations—0
A Constrained Latent Variable Model for Coreference Resolution—0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
A Boosted Semi-Markov Perceptron—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates—0
Automatic Measurement of Pre-aspiration—0
Adversarial Structured Prediction for Multivariate Measures—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
An Embedding Framework for Consistent Polyhedral Surrogates—0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing—0
A Unified Framework for Structured Prediction: From Theory to Practice—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
A Consistent Regularization Approach for Structured Prediction—0
Document Context Neural Machine Translation with Memory Networks—0
"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction—0
A Survey of Active Learning for Natural Language Processing—0
DeepSPIN: Deep Structured Prediction for Natural Language Processing—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
Distributionally Robust Graphical Models—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified