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Conformal Prediction
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/adhjort/ConformalPrediction
공식 코드https://github.com/adityavadlamani/conformal-fairness
공식 코드https://github.com/ai4science-westlakeu/safediffcon
공식 코드From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
https://github.com/ajfisch/conformal-cascades
공식 코드Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
https://github.com/ajfisch/conformal-fp
공식 코드https://github.com/ajfisch/few-shot-cp
공식 코드https://github.com/alaalab/webcp
공식 코드Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data
https://github.com/alextimans/conformal-od
공식 코드Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
https://github.com/alireza-javanmardi/conformal-bps
공식 코드https://github.com/alireza-javanmardi/conformal-credal-sets
공식 코드https://github.com/alireza-javanmardi/conformal-rul-intervals
공식 코드Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
https://github.com/allenbai01/cp-gen
공식 코드Efficient and Differentiable Conformal Prediction with General Function Classes
https://github.com/alvinwen428/featurecp
공식 코드https://github.com/alyasltd/conformal_runway_detection
공식 코드Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
https://github.com/an-michaelg/rt4u
공식 코드https://github.com/andreartelt/diversesemifactualsreject
공식 코드https://github.com/annawundram/PerformanceRangePrediction
공식 코드Conformal Performance Range Prediction for Segmentation Output Quality Control
https://github.com/awslabs/fortuna
공식 코드Fortuna: A Library for Uncertainty Quantification in Deep Learning
https://github.com/bat-sheva/conformal-learning
공식 코드Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
https://github.com/benolmbrt/wcp_miccai
공식 코드https://github.com/bhaweshiitk/conformalllm
공식 코드Conformal Prediction with Large Language Models for Multi-Choice Question Answering
https://github.com/bjbbbb/enhancing-adversarial-robustness-with-conformal-prediction
공식 코드https://github.com/botong516/conformal_structured_prediction
공식 코드https://github.com/brandongk-ubco/conformal-in-the-loop
공식 코드Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
https://github.com/cambridge-mlg/acp
공식 코드Approximating Full Conformal Prediction at Scale via Influence Functions
https://github.com/carlomarxdk/trilemma-of-truth
공식 코드https://github.com/chrisyeh96/e2e-conformal
공식 코드End-to-End Conformal Calibration for Optimization Under Uncertainty
https://github.com/cityu-t/rcp-gnn
공식 코드Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
https://github.com/ckm3/deep-lc
공식 코드https://github.com/clarafy/conformal-for-design
공식 코드Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design
https://github.com/clu5/aaai22
공식 코드Fair Conformal Predictors for Applications in Medical Imaging
https://github.com/clu5/federated-conformal
공식 코드Federated Conformal Predictors for Distributed Uncertainty Quantification
https://github.com/clu5/lumbar-conformal
공식 코드https://github.com/cmpatino/utility_driven_prediction
공식 코드https://github.com/cobypenso/Noise-Robust-Conformal-Prediction
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.