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
Resource Constrained Structured Prediction—0
The Structured Weighted Violations Perceptron Algorithm—0
Sequence Classification with Neural Conditional Random Fields—0
Convolutional Pose MachinesCode0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding—0
Learning Kernels for Structured Prediction using Polynomial Kernel Transformations—0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
Risk Minimization in Structured Prediction using Orbit Loss—0
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified