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 451–500 of 639 papers

TitleStatusHype
Minimax bounds for structured prediction—0
Zero-shot Entity Extraction from Web Pages—0
Exact inference in structured prediction—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing—0
A Boosted Semi-Markov Perceptron—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation—0
A Consistent Regularization Approach for Structured Prediction—0
A Constrained Latent Variable Model for Coreference Resolution—0
Active Learning for Structured Prediction from Partially Labeled Data—0
Active Learning for Structured Probabilistic Models With Histogram Approximation—0
Active Learning in Video Tracking—0
Active learning with version spaces for object detection—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Adversarial Structured Prediction for Multivariate Measures—0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization—0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
A General Theory for Structured Prediction with Smooth Convex Surrogates—0
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit—0
Agreement on Target-bidirectional Neural Machine Translation—0
A Hybrid Loss for Multiclass and Structured Prediction—0
A Joint Model of Rhetorical Discourse Structure and Summarization—0
A Joint Phrasal and Dependency Model for Paraphrase Alignment—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
A Learning Error Analysis for Structured Prediction with Approximate Inference—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
An Embedding Framework for Consistent Polyhedral Surrogates—0
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing—0
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing—0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation—0
An Improved Non-monotonic Transition System for Dependency Parsing—0
An Introduction to Conditional Random Fields—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
An open-source tool for negation detection: a maximum-margin approach—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
Approximate Inference in Structured Instances with Noisy Categorical Observations—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified