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 201–250 of 639 papers

TitleStatusHype
Agreement on Target-bidirectional Neural Machine Translation—0
Computing a partition function of a generalized pattern-based energy over a semiring—0
Gray-box inference for structured Gaussian process models—0
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing—0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties—0
Comparative Analysis between Notations to Classify Named Entities using Conditional Random Fields—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Active Learning in Video Tracking—0
Compact Representation of Uncertainty in Clustering—0
GeoF: Geodesic Forests for Learning Coupled Predictors—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Generic Oracles for Structured Prediction—0
Gaussian Processes for Natural Language Processing—0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser—0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos—0
Cocktail Party Processing via Structured Prediction—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
Forest Reranking through Subtree Ranking—0
Backpropagation of Unrolled Solvers with Folded Optimization—0
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
A General Theory for Structured Prediction with Smooth Convex Surrogates—0
Active Learning for Structured Probabilistic Models With Histogram Approximation—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
Few-Shot Learning Through an Information Retrieval Lens—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts—0
Generalization Analysis on Learning with a Concurrent Verifier—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
Approximate Inference in Structured Instances with Noisy Categorical Observations—0
Feature Noising for Log-Linear Structured Prediction—0
Geometric Matrix Completion with Deep Conditional Random Fields—0
Global Model for Hierarchical Multi-Label Text Classification—0
Gradient-based Inference for Networks with Output Constraints—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction—0
Fast View Synthesis with Deep Stereo Vision—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
Grounded Video Situation Recognition—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
Fairness constraints can help exact inference in structured prediction—0
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified