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 376–400 of 639 papers

TitleStatusHype
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
Reconstructing the house from the ad: Structured prediction on real estate classifiedsCode0
Mastering Sketching: Adversarial Augmentation for Structured Prediction—0
End-to-End Learning for Structured Prediction Energy Networks—0
On Structured Prediction Theory with Calibrated Convex Surrogate LossesCode0
Belief Propagation in Conditional RBMs for Structured Prediction—0
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural NetworksCode0
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Pixel Objectness—0
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos—0
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing—0
Neural Networks for Joint Sentence Classification in Medical Paper AbstractsCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
Deep Metric Learning via Facility LocationCode0
Commonly Uncommon: Semantic Sparsity in Situation RecognitionCode0
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects—0
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information—0
Machine Learning for Metrical Analysis of English Poetry—0
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation ExtractionCode0
Imitation learning for language generation from unaligned data—0
Active learning with version spaces for object detection—0
Structured Prediction by Conditional Risk Minimization—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
The Sum-Product Theorem: A Foundation for Learning Tractable Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified