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Structured Prediction
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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.
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Energy-Based Learning for Scene Graph Generation
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
On the Fundamental Limits of Exact Inference in Structured Prediction
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates
Fast rates in structured prediction
Randomized Deep Structured Prediction for Discourse-Level Processing
Structured Prediction as Translation between Augmented Natural Languages
Tensor Composition Net for Visual Relationship Prediction
Multi-Sense Language Modelling
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
Reciprocal Supervised Learning Improves Neural Machine Translation
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies
A Frustratingly Easy Approach for Entity and Relation Extraction
Deep Structured Prediction for Facial Landmark Detection
Hierarchical Poset Decoding for Compositional Generalization in Language
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three
On Long-Tailed Phenomena in Neural Machine Translation
An Empirical Investigation of Beam-Aware Training in Supertagging
Automated Concatenation of Embeddings for Structured Prediction
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Adversarial Attack and Defense of Structured Prediction Models
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction
Towards Structured Prediction in Bioinformatics with Deep Learning
DiverseNet: When One Right Answer is not Enough
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Learning Output Embeddings in Structured Prediction
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Explaining Fast Improvement in Online Imitation Learning
Consistent Structured Prediction with Max-Min Margin Markov Networks
Fairness constraints can help exact inference in structured prediction
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
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