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 351–375 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
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
Abstract Meaning Representation Parsing using LSTM Recurrent Neural NetworksCode0
Structured Recommendation—0
SEARNN: Training RNNs with Global-Local LossesCode0
Active Learning for Structured Prediction from Partially Labeled Data—0
Consistent Multitask Learning with Nonlinear Output Relations—0
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML—0
Discrete Sequential Prediction of Continuous Actions for Deep RL—0
Deep Functional Maps: Structured Prediction for Dense Shape CorrespondenceCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
Temporal Action Localization by Structured Maximal Sums—0
A Structured Approach to Predicting Image Enhancement Parameters—0
Automatic Measurement of Pre-aspiration—0
Integer Linear Programming formulations in Natural Language Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified