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 476–500 of 639 papers

TitleStatusHype
On the Fundamental Limits of Exact Inference in Structured Prediction—0
On the inconsistency of separable losses for structured prediction—0
Optimality of Approximate Inference Algorithms on Stable Instances—0
Optimization Strategies for Online Large-Margin Learning in Machine Translation—0
Optimizing for Measure of Performance in Max-Margin Parsing—0
Optimizing Text Quantifiers for Multivariate Loss Functions—0
O Reconhecimento de Entidades Nomeadas por meio de Conditional Random Fields para a L\' Portuguesa (Named Entity Recognition with Conditional Random Fields for the Portuguese Language) [in Portuguese]—0
Outline Generation: Understanding the Inherent Content Structure of Documents—0
Overcoming the Lack of Parallel Data in Sentence Compression—0
Overparameterisation and worst-case generalisation: friend or foe?—0
Parametric Adversarial Divergences are Good Losses for Generative Modeling—0
Parse, Price and Cut---Delayed Column and Row Generation for Graph Based Parsers—0
Parsing Models for Identifying Multiword Expressions—0
Part-Based Visual Tracking with Online Latent Structural Learning—0
Partial Inference in Structured Prediction—0
Partially Observed Maximum Entropy Discrimination Markov Networks—0
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank—0
Personalized Bundle List Recommendation—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Pixel Objectness—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Plug Latent Structures and Play Coreference Resolution—0
Portuguese Named Entity Recognition using Conditional Random Fields and Local Grammars—0
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified