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 126–150 of 639 papers

TitleStatusHype
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