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 51–60 of 639 papers

TitleStatusHype
RxnScribe: A Sequence Generation Model for Reaction Diagram ParsingCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
SpEL: Structured Prediction for Entity LinkingCode1
StructPool: Structured Graph Pooling via Conditional Random FieldsCode1
Agreement on Target-bidirectional Neural Machine Translation—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Active Learning in Video Tracking—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
Show:102550
← PrevPage 6 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified