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 151–175 of 639 papers

TitleStatusHype
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
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
Overparameterisation and worst-case generalisation: friend or foe?—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
Tensor Composition Net for Visual Relationship Prediction—0
Multi-Sense Language Modelling—0
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
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Hierarchical Poset Decoding for Compositional Generalization in Language—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—0
An Empirical Investigation of Beam-Aware Training in SupertaggingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified