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 301–350 of 639 papers

TitleStatusHype
Document Context Neural Machine Translation with Memory Networks—0
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Dynamic Feature Selection for Dependency Parsing—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis—0
Efficient and Consistent Adversarial Bipartite Matching—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses—0
Efficient multiple hyperparameter learning for log-linear models—0
Efficient Multi-Template Learning for Structured Prediction—0
Efficient non-greedy optimization of decision trees—0
Efficient Structured Surrogate Loss and Regularization in Structured Prediction—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
End-to-End Learning for Structured Prediction Energy Networks—0
End-to-End Neural Relation Extraction with Global Optimization—0
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking—0
Energy Disaggregation via Discriminative Sparse Coding—0
Energy Disaggregation with Semi-supervised Sparse Coding—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—0
Entropy-Based Latent Structured Output Prediction—0
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces—0
Exact Inference in High-order Structured Prediction—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Explaining Fast Improvement in Online Imitation Learning—0
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)—0
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning—0
Fairness constraints can help exact inference in structured prediction—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Fast View Synthesis with Deep Stereo Vision—0
Feature Noising for Log-Linear Structured Prediction—0
Few-Shot Learning Through an Information Retrieval Lens—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
Backpropagation of Unrolled Solvers with Folded Optimization—0
Forest Reranking through Subtree Ranking—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
Gaussian Processes for Natural Language Processing—0
Generalization Analysis on Learning with a Concurrent Verifier—0
Generic Oracles for Structured Prediction—0
GeoF: Geodesic Forests for Learning Coupled Predictors—0
Geometric Matrix Completion with Deep Conditional Random Fields—0
Global Model for Hierarchical Multi-Label Text Classification—0
Gradient-based Inference for Networks with Output Constraints—0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties—0
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified