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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/salesforce/online_conformal

공식 코드

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

https://github.com/salimamoukou/acpi

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Adaptive Conformal Prediction by Reweighting Nonconformity Score

https://github.com/samuelstanton/conformal-bayesopt

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Bayesian Optimization with Conformal Prediction Sets

https://github.com/scikit-learn-contrib/mapie

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MAPIE: an open-source library for distribution-free uncertainty quantification

https://github.com/seedatnabeel/data-suite

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Data-SUITE: Data-centric identification of in-distribution incongruous examples

https://github.com/seedatnabeel/sscp

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Improving Adaptive Conformal Prediction Using Self-Supervised Learning

https://github.com/shai128/mqr

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Calibrated Multiple-Output Quantile Regression with Representation Learning

https://github.com/shai128/rrc

공식 코드

Achieving Risk Control in Online Learning Settings

https://github.com/shayankiyani98/cp

공식 코드

Length Optimization in Conformal Prediction

https://github.com/shi-ang/makesurvivalcalibratedagain

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Toward Conditional Distribution Calibration in Survival Prediction

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/sinatayebati/vlm-uncertainty

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Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models

https://github.com/snap-stanford/conformalized-gnn

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Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

https://github.com/soroushzargar/cas

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Robust Yet Efficient Conformal Prediction Sets

https://github.com/sulam-group/k-rcps

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How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control

https://github.com/tailabTMU/ECP

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Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction

https://github.com/tanguybosser/conf_tpp

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Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes

https://github.com/team-daniel/mc-cp

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Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction

https://github.com/themrguiller/collaborative-content-moderation

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A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement

https://github.com/tiffanyding/class-conditional-conformal

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Class-Conditional Conformal Prediction with Many Classes

https://github.com/trustworthy-ml-lab/provably-robust-conformal-prediction

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Provably Robust Conformal Prediction with Improved Efficiency

https://github.com/vanderschaarlab/sscp

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Improving Adaptive Conformal Prediction Using Self-Supervised Learning

https://github.com/varal7/conformal-language-modeling

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Conformal Language Modeling

https://github.com/vekteur/latent-recalibration

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Multivariate Latent Recalibration for Conditional Normalizing Flows

https://github.com/vekteur/multi-output-conformal-regression

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A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression

https://github.com/vekteur/probabilistic-calibration-study

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A Large-Scale Study of Probabilistic Calibration in Neural Network Regression

https://github.com/vincentblot28/conformalized_gp

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Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees

https://github.com/xiannanhuang/ffdci

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Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model

https://github.com/xichennn/v2i_trajectory_prediction

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Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving

https://github.com/xzhan96-stf/icp_train_clean

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Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining

https://github.com/yangming911/conformal_tube_mpc

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Learning-Based Conformal Tube MPC for Safe Control in Interactive Multi-Agent Systems

https://github.com/yashpatel5400/crc

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Conformal Robust Control of Linear Systems

https://github.com/yashpatel5400/fusioncp

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Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation

https://github.com/ying531/jomi-paper

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Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage

https://github.com/ymlasu/para-atm-collection

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Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning

https://github.com/yongsukyee/uncertain_blackholemass

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Uncertainty Quantification of the Virial Black Hole Mass with Conformal Prediction

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.