Papers with Code 아카이브
Structured Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
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
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
On Certified Generalization in Structured Prediction
Partial Inference in Structured Prediction
Computing a partition function of a generalized pattern-based energy over a semiring
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing
Modified Gauss-Newton Algorithms under Noise
Mixture of Soft Prompts for Controllable Data Generation
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
PAC Prediction Sets for Large Language Models of Code
Exact Inference in High-order Structured Prediction
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Backpropagation of Unrolled Solvers with Folded Optimization
On the inconsistency of separable losses for structured prediction
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
Lifting Weak Supervision To Structured Prediction
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
Prompting Language Models for Linguistic Structure
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Autoregressive Structured Prediction with Language Models
Code4Struct: Code Generation for Few-Shot Event Structure Prediction
Evidence > Intuition: Transferability Estimation for Encoder Selection
Grounded Video Situation Recognition
A Survey of Active Learning for Natural Language Processing
Generalization Analysis on Learning with a Concurrent Verifier
Coalescing Global and Local Information for Procedural Text Understanding
Effectiveness of Function Matching in Driving Scene Recognition
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation
Query-Adaptive Predictive Inference with Partial Labels
Sort by Structure: Language Model Ranking as Dependency Probing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.