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 101–125 of 639 papers

TitleStatusHype
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—0
Canonical Correlation Inference for Mapping Abstract Scenes to Text—0
Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker—0
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts—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
Cocktail Party Processing via Structured Prediction—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
Compact Representation of Uncertainty in Clustering—0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing—0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Bayesian Kernel Methods for Natural Language Processing—0
Computing a partition function of a generalized pattern-based energy over a semiring—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
Deeply Learning the Messages in Message Passing Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified