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 181–190 of 639 papers

TitleStatusHype
PAC Prediction Sets for Large Language Models of CodeCode0
Phrase Grounding by Soft-Label Chain Conditional Random FieldCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
Reducing Model Churn: Stable Re-training of Conversational AgentsCode0
Efficient Sub-structured Knowledge DistillationCode0
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic MapsCode0
Situation Recognition: Visual Semantic Role Labeling for Image UnderstandingCode0
Consistent Multitask Learning with Nonlinear Output Relations—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Show:102550
← PrevPage 19 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified