Papers with Code 아카이브
Conformal Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Conformal Prediction is a machine learning framework that provides valid measures of confidence for individual predictions. It offers a principled approach to quantify uncertainty in predictions without assuming any specific distribution for the data. This section features papers that explore various aspects of conformal prediction, including theoretical advancements, algorithmic developments, and applications across different domains.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Foundation models for time series forecasting: Application in conformal prediction
The Trilemma of Truth in Large Language Models
Deterministic Object Pose Confidence Region Estimation
Graph-Structured Feedback Multimodel Ensemble Online Conformal Prediction
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
Valid Selection among Conformal Sets
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?
One Sample is Enough to Make Conformal Prediction Robust
CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
Conformal Safety Shielding for Imperfect-Perception Agents
SAFE: Multitask Failure Detection for Vision-Language-Action Models
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Conformal coronary calcification volume estimation with conditional coverage via histogram clustering
Conformal Prediction for Zero-Shot Models
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
Conformal Object Detection by Sequential Risk Control
Individualised Counterfactual Examples Using Conformal Prediction Intervals
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
Test-time augmentation improves efficiency in conformal prediction
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
CP-Router: An Uncertainty-Aware Router Between LLM and LRM
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
Optimal Conformal Prediction under Epistemic Uncertainty
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.