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 621–630 of 639 papers

TitleStatusHype
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction—0
Houdini: Fooling Deep Structured Prediction Models—0
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis—0
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
IllinoisSL: A JAVA Library for Structured Prediction—0
Imitation learning for language generation from unaligned data—0
Imitation learning for structured prediction in natural language processing—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Improved CCG Parsing with Semi-supervised Supertagging—0
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training—0
Show:102550
← PrevPage 63 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified