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 561–570 of 639 papers

TitleStatusHype
On the Robustness of Semantic Segmentation Models to Adversarial AttacksCode0
Feature Space Optimization for Semantic Video SegmentationCode0
Feedforward semantic segmentation with zoom-out featuresCode0
On the Use of ArXiv as a DatasetCode0
Stochastic Structured Prediction under Bandit FeedbackCode0
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-LabelingCode0
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task DistillationCode0
Structured Prediction for Conditional Meta-LearningCode0
Frank-Wolfe Algorithms for Saddle Point ProblemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified