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

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Showing 476–500 of 639 papers

TitleStatusHype
Modeling Dynamic Relationships Between Characters in Literary Novels—0
Iterative Instance Segmentation—0
ReSeg: A Recurrent Neural Network-based Model for Semantic SegmentationCode0
Structured Prediction Energy Networks—0
Deep Metric Learning via Lifted Structured Feature EmbeddingCode0
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation—0
Super-Resolution with Deep Convolutional Sufficient StatisticsCode0
Efficient non-greedy optimization of decision trees—0
Train and Test Tightness of LP Relaxations in Structured Prediction—0
Comparative Analysis between Notations to Classify Named Entities using Conditional Random Fields—0
On Correcting Inputs: Inverse Optimization for Online Structured Prediction—0
IllinoisSL: A JAVA Library for Structured Prediction—0
Structured Prediction with Output Embeddings for Semantic Image Annotation—0
An Improved Non-monotonic Transition System for Dependency Parsing—0
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning—0
Search-Aware Tuning for Hierarchical Phrase-based Decoding—0
Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Discriminative Segmental Cascades for Feature-Rich Phone Recognition—0
Convolutional Color ConstancyCode0
Using word embedding for bio-event extraction—0
Plug Latent Structures and Play Coreference Resolution—0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing—0
Transferring Coreference Resolvers with Posterior Regularization—0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified