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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.
논문
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Importance Weighted Structure Learning for Scene Graph Generation
Neural Structured Prediction for Inductive Node Classification
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
Transforming Sequence Tagging Into A Seq2Seq Task
Efficient Sub-structured Knowledge Distillation
Structured Multi-task Learning for Molecular Property Prediction
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Structured Prediction Problem Archive
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
Constrained Structure Learning for Scene Graph Generation
Neuro-Symbolic Entropy Regularization
Predictive Inference with Weak Supervision
Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback
Interscript: A dataset for interactive learning of scripts through error feedback
Group-Wise Learning for Weakly Supervised Semantic Segmentation
Safe Screening for Sparse Conditional Random Fields
Multi-fidelity Stability for Graph Representation Learning
FastDOG: Fast Discrete Optimization on GPU
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models
Language Modelling via Learning to Rank
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data
Structured Prediction in NLP -- A survey
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Constraining Linear-chain CRFs to Regular Languages
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
On the Consistency of Max-Margin Losses
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
Neuro-Symbolic Constraint Programming for Structured Prediction
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