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 526–550 of 639 papers

TitleStatusHype
Feedforward semantic segmentation with zoom-out featuresCode0
Learning Distributed Representations for Structured Output Prediction—0
Learning Mixtures of Submodular Functions for Image Collection Summarization—0
Structure Regularization for Structured Prediction—0
Object Localization based on Structural SVM using Privileged Information—0
Discriminative Metric Learning by Neighborhood Gerrymandering—0
Learning to Search in Branch and Bound Algorithms—0
Structure Regularization for Structured Prediction: Theories and Experiments—0
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets—0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
Prune-and-Score: Learning for Greedy Coreference Resolution—0
Constructing Information Networks Using One Single Model—0
Tight Error Bounds for Structured Prediction—0
Metric Learning for Temporal Sequence Alignment—0
Marginal Structured SVM with Hidden Variables—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
Learning to Summarise Related Sentences—0
Priberam: A Turbo Semantic Parser with Second Order Features—0
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators—0
Reinforcement and Imitation Learning via Interactive No-Regret Learning—0
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions—0
Techniques for Learning Binary Stochastic Feedforward Neural Networks—0
Zero-shot Entity Extraction from Web Pages—0
Representation Learning for Text-level Discourse ParsingCode0
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified