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 51–100 of 639 papers

TitleStatusHype
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsCode1
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal LearningCode1
Learning Approximate Inference Networks for Structured PredictionCode1
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
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing—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
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
Computing a partition function of a generalized pattern-based energy over a semiring—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
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
An Introduction to Conditional Random Fields—0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision—0
An Improved Non-monotonic Transition System for Dependency Parsing—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
Comparative Analysis between Notations to Classify Named Entities using Conditional Random Fields—0
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization—0
Better Transition-Based AMR Parsing with a Refined Search Space—0
Bethe Projections for Non-Local Inference—0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling—0
Belief Propagation in Conditional RBMs for Structured Prediction—0
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Blending Learning and Inference in Structured Prediction—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing—0
Cocktail Party Processing via Structured Prediction—0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Buy 4 REINFORCE Samples, Get a Baseline for Free!—0
Bayesian Kernel Methods for Natural Language Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified