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 251–275 of 639 papers

TitleStatusHype
Deep Learning in Lexical Analysis and Parsing—0
Hierarchical Poset Decoding for Compositional Generalization in Language—0
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction—0
Houdini: Fooling Deep Structured Prediction Models—0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
Deep imitation learning for molecular inverse problems—0
A Structured Prediction Approach for Missing Value Imputation—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training—0
Exact inference in structured prediction—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
Integer Linear Programming formulations in Natural Language Processing—0
A Joint Phrasal and Dependency Model for Paraphrase Alignment—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Inferring Interpersonal Relations in Narrative Summaries—0
Increasing the Generalisation Capacity of Conditional VAEs—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts—0
A Joint Model of Rhetorical Discourse Structure and Summarization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified