Conformal Prediction for Deep Classifier via Label Ranking

10 October 2023

Papers citing "Conformal Prediction for Deep Classifier via Label Ranking"

50 / 63 papers shown

Title
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction Chen Wang Fangxin Wang Ruocheng Guo Yueqing Liang Philip S. Yu 135 4 0 21 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 138 1 0 17 Feb 2025
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 282 4 0 09 Oct 2024
Weighted Aggregation of Conformity Scores for Classification Rui Luo Zhixin Zhou 69 10 0 14 Jul 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 82 4 0 29 May 2024
Training-Conditional Coverage Bounds under Covariate Shift Mehrdad Pournaderi Yu Xiang 36 3 0 26 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song Jianguo Huang Wenyu Jiang Baoming Zhang Shuangjie Li Chongjun Wang 55 3 0 23 May 2024
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model Rui Xu Yue Sun Chao Chen Parv Venkitasubramaniam Sihong Xie OOD 30 2 0 22 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 55 2 0 18 Mar 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang Nezihe Merve Gürel Linyi Li Yue Liu 60 5 0 17 Mar 2024
Safe Merging in Mixed Traffic with Confidence Heeseung Bang Aditya Dave Andreas A. Malikopoulos 51 5 0 09 Mar 2024
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access Jiayuan Su Jing Luo Hongwei Wang Lu Cheng 102 19 0 02 Mar 2024
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks Christian Moya Amirhossein Mollaali Zecheng Zhang Lu Lu Guang Lin UQCV 51 18 0 23 Feb 2024
Conformal Temporal Logic Planning using Large Language Models Jun Wang J. Tong Kai Liang Tan Yevgeniy Vorobeychik Y. Kantaros LM&Ro 93 21 0 18 Sep 2023
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 72 14 0 10 Sep 2023
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 57 7 0 29 Aug 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners Allen Z. Ren Anushri Dixit Alexandra Bodrova Sumeet Singh Stephen Tu ... Jacob Varley Zhenjia Xu Dorsa Sadigh Andy Zeng Anirudha Majumdar LM&Ro 133 224 0 04 Jul 2023
Conformal Language Modeling Victor Quach Adam Fisch Tal Schuster Adam Yala J. Sohn Tommi Jaakkola Regina Barzilay 99 62 0 16 Jun 2023
Class-Conditional Conformal Prediction with Many Classes Tiffany Ding Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan Robert Tibshirani 36 45 0 15 Jun 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift Vincent Plassier Mehdi Makni Aleksandr Rubashevskii Eric Moulines Maxim Panov FedML 39 17 0 08 Jun 2023
Conformal Prediction with Large Language Models for Multi-Choice Question Answering Bhawesh Kumar Cha-Chen Lu Gauri Gupta Anil Palepu David R. Bellamy Ramesh Raskar Andrew L. Beam 37 71 0 28 May 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 54 23 0 27 May 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis Subhankar Ghosh Taha Belkhouja Yan Yan J. Doppa UQCV 70 18 0 19 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 75 19 0 08 Mar 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 67 28 0 07 Feb 2023
Conformal inference is (almost) free for neural networks trained with early stopping Zi-Chen Liang Yan Zhou Matteo Sesia BDL 56 11 0 27 Jan 2023
A Cross-Conformal Predictor for Multi-label Classification Harris Papadopoulos 37 18 0 29 Nov 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 57 24 0 26 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models Eliahu Horwitz Yedid Hoshen DiffM 34 28 0 17 Nov 2022
Prediction Sets for High-Dimensional Mixture of Experts Models Adel Javanmard S. Shao Jacob Bien 49 5 0 30 Oct 2022
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 47 26 0 01 Oct 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 57 3 0 26 Jun 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 56 50 0 12 May 2022
Training-conditional coverage for distribution-free predictive inference Michael Bian Rina Foygel Barber 45 25 0 07 May 2022
Conformal Prediction Sets with Limited False Positives Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 30 23 0 15 Feb 2022
Improving Expert Predictions with Conformal Prediction Eleni Straitouri Lequn Wang Nastaran Okati Manuel Gomez Rodriguez 56 30 0 28 Jan 2022
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 47 83 0 18 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 62 607 0 15 Jul 2021
Optimized conformal classification using gradient descent approximation A. Bellotti 13 15 0 24 May 2021
Testing for Outliers with Conformal p-values Stephen Bates Emmanuel Candès Lihua Lei Yaniv Romano Matteo Sesia 48 138 0 16 Apr 2021
Distribution-free uncertainty quantification for classification under label shift Aleksandr Podkopaev Aaditya Ramdas UQCV 34 86 0 04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 392 28,659 0 26 Feb 2021
Learning Prediction Intervals for Regression: Generalization and Calibration Haoxian Chen Ziyi Huang Henry Lam Huajie Qian Haofeng Zhang UQCV 26 20 0 26 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 220 55 0 17 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 203 190 0 07 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 193 6,657 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 116 40,217 0 22 Oct 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 68 326 0 29 Sep 2020
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 51 315 0 03 Jun 2020
Training conformal predictors Nicolo Colombo V. Vovk 13 17 0 14 May 2020