Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

12 May 2022

Papers citing "Training Uncertainty-Aware Classifiers with Conformalized Deep Learning"

40 / 40 papers shown

Title
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction Xiaobo Xia Xiaofeng Liu Jiale Liu K. Fang Lu Lu Samet Oymak William S. Currie Tongliang Liu 55 0 0 13 Mar 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 26 0 0 23 Jan 2025
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre H. Najjaran 30 0 0 04 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 35 2 0 03 Nov 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 55 4 0 12 Oct 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 44 2 0 09 Oct 2024
End-to-End Conformal Calibration for Optimization Under Uncertainty Christopher Yeh Nicolas H. Christianson Alan Wu Adam Wierman Yisong Yue 18 3 0 30 Sep 2024
Adjusting Regression Models for Conditional Uncertainty Calibration Ruijiang Gao Mingzhang Yin James McInerney Nathan Kallus 16 0 0 26 Sep 2024
A conformalized learning of a prediction set with applications to medical imaging classification Roy Hirsch Jacob Goldberger MedIm 17 0 0 09 Aug 2024
Entropy Reweighted Conformal Classification Rui Luo Nicolo Colombo 20 6 0 24 Jul 2024
Normalizing Flows for Conformal Regression Nicolo Colombo 25 6 0 05 Jun 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu Yufei Cui Yan Yan Yi Tian Xu Xiangyang Ji Xue Liu Antoni B. Chan AAML 23 2 0 14 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 19 0 0 02 May 2024
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 18 4 0 30 Apr 2024
Impact of Preference Noise on the Alignment Performance of Generative Language Models Yang Gao Dana Alon Donald Metzler 19 15 0 15 Apr 2024
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 19 3 0 18 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 40 8 0 11 Mar 2024
Language Models with Conformal Factuality Guarantees Christopher Mohri Tatsunori Hashimoto HILM 31 33 0 15 Feb 2024
Cross-Validation Conformal Risk Control K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 18 3 0 22 Jan 2024
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation Farhad Pourkamali-Anaraki Jamal F. Husseini E. Pineda B. Bednarcyk Scott E. Stapleton AI4CE 42 2 0 04 Jan 2024
SymmPI: Predictive Inference for Data with Group Symmetries Edgar Dobriban Mengxin Yu 10 2 0 26 Dec 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma Sushant Veer Asher Hancock Heng Yang Marco Pavone Anirudha Majumdar 41 8 0 07 Dec 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 8 14 0 03 Nov 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 28 21 0 10 Oct 2023
Conformalized Multimodal Uncertainty Regression and Reasoning Mimmo Parente Nastaran Darabi Alex C. Stutts Theja Tulabandhula A. R. Trivedi UQCV 11 6 0 20 Sep 2023
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 4 12 0 10 Sep 2023
On training locally adaptive CP Nicolo Colombo 19 6 0 05 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 14 5 0 02 Jun 2023
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees Jiechen Chen Sangwoo Park Osvaldo Simeone 11 8 0 18 May 2023
Lightweight, Uncertainty-Aware Conformalized Visual Odometry Alex C. Stutts Danilo Erricolo Theja Tulabandhula A. R. Trivedi UQCV 14 9 0 03 Mar 2023
Conformal inference is (almost) free for neural networks trained with early stopping Zi-Chen Liang Yan Zhou Matteo Sesia BDL 8 10 0 27 Jan 2023
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 19 6 0 15 Dec 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 25 11 0 26 Nov 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 13 9 0 06 Oct 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers Zi-Chen Liang Matteo Sesia Wenguang Sun OODD 6 19 0 23 Aug 2022
Split Localized Conformal Prediction Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu 8 18 0 27 Jun 2022
Predictive Inference with Weak Supervision Maxime Cauchois Suyash Gupta Alnur Ali John C. Duchi 15 10 0 20 Jan 2022
Conformal Prediction using Conditional Histograms Matteo Sesia Yaniv Romano 41 54 0 18 May 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 173 184 0 07 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016