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 161–170 of 639 papers

TitleStatusHype
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
Show:102550
← PrevPage 17 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified