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 351–360 of 639 papers

TitleStatusHype
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming—0
A Unified Framework for Structured Prediction: From Theory to Practice—0
Parametric Adversarial Divergences are Good Losses for Generative Modeling—0
Robust Conditional Probabilities—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
Gradient-based Inference for Networks with Output Constraints—0
Houdini: Fooling Deep Structured Prediction Models—0
Few-Shot Learning Through an Information Retrieval Lens—0
Text-based Speaker Identification on Multiparty Dialogues Using Multi-document Convolutional Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified