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 461–470 of 639 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified