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 201–210 of 639 papers

TitleStatusHype
Learning Likelihoods with Conditional Normalizing FlowsCode0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-LabelingCode0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
Sato: Contextual Semantic Type Detection in TablesCode0
Graph-to-Graph Transformer for Transition-based Dependency ParsingCode0
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
Co-Generation with GANs using AIS based HMCCode0
Graph Structured Prediction Energy NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified