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 101–150 of 639 papers

TitleStatusHype
Word Reordering for Zero-shot Cross-lingual Structured Prediction—0
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
Language Modelling via Learning to Rank—0
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source DataCode0
Structured Energy Network as a dynamic loss function. Case study. A case study with multi-label Classification—0
Modeling Label Space Interactions in Multi-label Classification using Box EmbeddingsCode1
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
Structured Prediction in NLP -- A survey—0
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference ResolutionCode1
DEGREE: A Data-Efficient Generation-Based Event Extraction ModelCode1
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP—0
Meta-Learning for Few-Shot Named Entity Recognition—0
Generic Oracles for Structured Prediction—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
Simple GNN Regularisation for 3D Molecular Property Prediction & BeyondCode1
Constraining Linear-chain CRFs to Regular LanguagesCode0
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
Supervised Neural Clustering via Latent Structured Output Learning: Application to Question IntentsCode0
On the Consistency of Max-Margin Losses—0
Structured Convolutional Kernel Networks for Airline Crew SchedulingCode0
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Neuro-Symbolic Constraint Programming for Structured Prediction—0
Set-to-Sequence Methods in Machine Learning: a Review—0
Energy-Based Learning for Scene Graph GenerationCode1
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot ModelsCode0
On the Fundamental Limits of Exact Inference in Structured Prediction—0
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates—0
Fast rates in structured prediction—0
Randomized Deep Structured Prediction for Discourse-Level Processing—0
Structured Prediction as Translation between Augmented Natural LanguagesCode1
Assignment-Space-Based Multi-Object Tracking and SegmentationCode1
Overparameterisation and worst-case generalisation: friend or foe?—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
Multi-Sense Language Modelling—0
Tensor Composition Net for Visual Relationship Prediction—0
Group-Wise Semantic Mining for Weakly Supervised Semantic SegmentationCode1
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
Supertagging the Long Tail with Tree-Structured Decoding of Complex CategoriesCode0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
Learning with Differentiable Pertubed Optimizers—0
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
An Empirical Exploration of Local Ordering Pre-training for Structured PredictionCode0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified