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 51–75 of 639 papers

TitleStatusHype
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference ResolutionCode1
Simple GNN Regularisation for 3D Molecular Property Prediction & BeyondCode1
Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedbackCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Active Learning in Video Tracking—0
Blending Learning and Inference in Structured Prediction—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Agreement on Target-bidirectional Neural Machine Translation—0
Active Learning for Structured Probabilistic Models With Histogram Approximation—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
A General Theory for Structured Prediction with Smooth Convex Surrogates—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
Approximate Inference in Structured Instances with Noisy Categorical Observations—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
An open-source tool for negation detection: a maximum-margin approach—0
Active Learning for Structured Prediction from Partially Labeled Data—0
Minimax bounds for structured prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified