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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–639 of 639 papers

TitleStatusHype
Forest Reranking through Subtree Ranking—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
Gaussian Processes for Natural Language Processing—0
Generalization Analysis on Learning with a Concurrent Verifier—0
Generic Oracles for Structured Prediction—0
GeoF: Geodesic Forests for Learning Coupled Predictors—0
Geometric Matrix Completion with Deep Conditional Random Fields—0
Global Model for Hierarchical Multi-Label Text Classification—0
Gradient-based Inference for Networks with Output Constraints—0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties—0
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction—0
Gray-box inference for structured Gaussian process models—0
Grounded Video Situation Recognition—0
Hands-on Learning to Search for Structured Prediction—0
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports—0
HC-Search for Structured Prediction in Computer Vision—0
Helix: Accelerating Human-in-the-loop Machine Learning—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
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis—0
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
IllinoisSL: A JAVA Library for Structured Prediction—0
Imitation learning for language generation from unaligned data—0
Imitation learning for structured prediction in natural language processing—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Improved CCG Parsing with Semi-supervised Supertagging—0
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training—0
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks—0
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction—0
Increasing the Generalisation Capacity of Conditional VAEs—0
Inferring Interpersonal Relations in Narrative Summaries—0
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)—0
Integer Linear Programming formulations in Natural Language Processing—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
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified