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 451–475 of 639 papers

TitleStatusHype
Multi-fidelity Stability for Graph Representation Learning—0
Multi-Sense Language Modelling—0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
Nested Named Entity Recognition as Single-Pass Sequence Labeling—0
Neural Chinese Address Parsing—0
Neural Program Planner for Structured Predictions—0
Neuro-Symbolic Constraint Programming for Structured Prediction—0
Neuro-Symbolic Entropy Regularization—0
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control—0
Object Detection with Grammar Models—0
Object Localization based on Structural SVM using Privileged Information—0
ODE-Inspired Network Design for Single Image Super-Resolution—0
On Amortizing Inference Cost for Structured Prediction—0
On Certified Generalization in Structured Prediction—0
On Correcting Inputs: Inverse Optimization for Online Structured Prediction—0
Online Learning for Inexact Hypergraph Search—0
Online Non-Additive Path Learning under Full and Partial Information—0
Online Relative Margin Maximization for Statistical Machine Translation—0
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss—0
On Regularization and Inference with Label Constraints—0
On the definition of a general learning system with user-defined operators—0
On the Discrepancy between Density Estimation and Sequence Generation—0
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified