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
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
Predicting deliberative outcomes—0
Predicting deliberative outcomes—0
Active Learning in Video Tracking—0
Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies—0
Deep imitation learning for molecular inverse problems—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified