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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/yuanjiesh/rc3p
공식 코드Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
https://github.com/yx8njit/ordinal-conformal-risk-control
공식 코드https://github.com/yyzhangecnu/copp
공식 코드https://github.com/zahradbozorgi/whentotreat
공식 코드https://github.com/zhenxianglance/cbd
공식 코드CBD: A Certified Backdoor Detector Based on Local Dominant Probability
https://github.com/zhimeir/cfsurv_paper
공식 코드https://github.com/zhimeir/cfsurvival
공식 코드https://github.com/zhiyuan-gg/conformal-uncertainty-criterion
공식 코드ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
https://github.com/zhiyuzz/Bayesian-Conformal
공식 코드The Benefit of Being Bayesian in Online Conformal Prediction
https://github.com/ziquanliu/ICML2024-AT-UR
공식 코드The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
https://github.com/zlin7/cptd
공식 코드https://github.com/zlin7/lvd
공식 코드Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
https://github.com/zrli2000/cost
공식 코드Conjunction Subspaces Test for Conformal and Selective Classification
https://github.com/zswvivi/ecml_pqa
공식 코드Less is More: Rejecting Unreliable Reviews for Product Question Answering
https://github.com/Bradley-Butcher/Conformers
https://github.com/adamzenith/mapie
MAPIE: an open-source library for distribution-free uncertainty quantification
https://github.com/chancejohnstone/piRF
https://github.com/codelion/adaptive-classifier
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
https://github.com/cxu-tri/fail-detect
https://github.com/dmis-lab/olaph
Large language model validity via enhanced conformal prediction methods
https://github.com/ericschulman/fonts_causal_analysis
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
https://github.com/ericschulman/fonts_replication
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
https://github.com/gioelece/cppconformal
Conformal Prediction: a Unified Review of Theory and New Challenges
https://github.com/hammerlabml/diversesemifactualsreject
https://github.com/herbps10/adaptiveconformal
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
https://github.com/kwuthrich/scinference
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
https://github.com/leoandeol/cods
https://github.com/lightning-uq-box/lightning-uq-box
https://github.com/nvlabs/pac-bayes-conformal-prediction
https://github.com/yromano/fair_dummies
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.