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 251–300 of 639 papers

TitleStatusHype
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings—0
Explaining Fast Improvement in Online Imitation Learning—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Houdini: Fooling Deep Structured Prediction Models—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Exact Inference in High-order Structured Prediction—0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces—0
Buy 4 REINFORCE Samples, Get a Baseline for Free!—0
An Introduction to Conditional Random Fields—0
Entropy-Based Latent Structured Output Prediction—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Energy Disaggregation via Discriminative Sparse Coding—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
End-to-End Neural Relation Extraction with Global Optimization—0
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision—0
An Improved Non-monotonic Transition System for Dependency Parsing—0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation—0
Active Learning for Structured Prediction from Partially Labeled Data—0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach—0
End-to-End Learning for Structured Prediction Energy Networks—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Blending Learning and Inference in Structured Prediction—0
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation—0
Efficient Structured Surrogate Loss and Regularization in Structured Prediction—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Efficient non-greedy optimization of decision trees—0
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
Efficient Multi-Template Learning for Structured Prediction—0
Efficient multiple hyperparameter learning for log-linear models—0
Better Transition-Based AMR Parsing with a Refined Search Space—0
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Bethe Projections for Non-Local Inference—0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling—0
Efficient and Consistent Adversarial Bipartite Matching—0
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Belief Propagation in Conditional RBMs for Structured Prediction—0
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing—0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization—0
Dynamic Feature Selection for Dependency Parsing—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Show:102550
← PrevPage 6 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified