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

Showing 76100 of 639 papers

TitleStatusHype
An Introduction to Conditional Random Fields0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction0
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision0
An Improved Non-monotonic Transition System for Dependency Parsing0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach0
Computing a partition function of a generalized pattern-based energy over a semiring0
Constructing Information Networks Using One Single Model0
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation0
A New Recurrent Neural CRF for Learning Non-linear Edge Features0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization0
Better Transition-Based AMR Parsing with a Refined Search Space0
Bethe Projections for Non-Local Inference0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling0
Belief Propagation in Conditional RBMs for Structured Prediction0
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling0
Blending Learning and Inference in Structured Prediction0
Book Review: Linguistic Structure Prediction by Noah A. Smith0
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing0
Compact Representation of Uncertainty in Clustering0
Comparative Analysis between Notations to Classify Named Entities using Conditional Random Fields0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction0
Buy 4 REINFORCE Samples, Get a Baseline for Free!0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8Unverified