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 251–275 of 639 papers

TitleStatusHype
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
Explaining Fast Improvement in Online Imitation Learning—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Houdini: Fooling Deep Structured Prediction Models—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Exact Inference in High-order Structured Prediction—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces—0
Buy 4 REINFORCE Samples, Get a Baseline for Free!—0
An Introduction to Conditional Random Fields—0
Entropy-Based Latent Structured Output Prediction—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Energy Disaggregation via Discriminative Sparse Coding—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
End-to-End Neural Relation Extraction with Global Optimization—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
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
Active Learning for Structured Prediction from Partially Labeled Data—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
End-to-End Learning for Structured Prediction Energy Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified