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 251–300 of 639 papers

TitleStatusHype
Learning latent variable structured prediction models with Gaussian perturbations—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
Joint Event Extraction via Structured Prediction with Global Features—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Learning Kernels for Structured Prediction using Polynomial Kernel Transformations—0
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time—0
Exact inference in structured prediction—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Learning Ensembles of Structured Prediction Rules—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
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets—0
Learning Max-Margin Tree Predictors—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
Learning Distributed Representations for Structured Output Prediction—0
Inferring Interpersonal Relations in Narrative Summaries—0
Increasing the Generalisation Capacity of Conditional VAEs—0
A Joint Model of Rhetorical Discourse Structure and Summarization—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
Learning Distributions over Permutations and Rankings with Factorized Representations—0
Active learning with version spaces for object detection—0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Iterative Instance Segmentation—0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
A Structured Prediction Approach for Missing Value Imputation—0
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction—0
Deep imitation learning for molecular inverse problems—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
Deeply Learning the Messages in Message Passing Inference—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks—0
Large-Margin Learning of Submodular Summarization Models—0
Large Margin Semi-supervised Structured Output Learning—0
Large scale evaluation of importance maps in automatic speech recognition—0
Latent Structured Active Learning—0
Latent Structures for Coreference Resolution—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations—0
Learning Adaptive Value of Information for Structured Prediction—0
A Structured Approach to Predicting Image Enhancement Parameters—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
Learning Discriminators as Energy Networks in Adversarial Learning—0
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified