Uncertainty Sets for Image Classifiers using Conformal Prediction

29 September 2020

Anastasios Nikolas Angelopoulos

Papers citing "Uncertainty Sets for Image Classifiers using Conformal Prediction"

50 / 216 papers shown

Title
ACon $^2$ : Adaptive Conformal Consensus for Provable Blockchain Oracles Sangdon Park Osbert Bastani Taesoo Kim 39 9 0 17 Nov 2022
The Implicit Delta Method Nathan Kallus James McInerney 23 1 0 11 Nov 2022
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries Matteo Sesia Stefano Favaro Yan Sun 22 8 0 09 Nov 2022
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles Rajeev Verma Daniel Barrejón Eric Nalisnick UQCV 23 28 0 30 Oct 2022
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction Roel Hulsman 29 5 0 26 Oct 2022
Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples Fatih Yilmaz Reinhard Heckel 28 1 0 09 Oct 2022
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods Alex Contarino Christine M. Schubert-Kabban Chancellor Johnstone Fairul Mohd-Zaid 44 3 0 07 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 80 0 05 Oct 2022
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 34 26 0 01 Oct 2022
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 70 49 0 30 Sep 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers Zi-Chen Liang Matteo Sesia Wenguang Sun OODD 28 20 0 23 Aug 2022
Conformal Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Adam Fisch Lihua Lei Tal Schuster 40 127 0 04 Aug 2022
Towards Clear Expectations for Uncertainty Estimation Victor Bouvier Simona Maggio A. Abraham L. Dreyfus-Schmidt UQCV 28 1 0 27 Jul 2022
A novel Deep Learning approach for one-step Conformal Prediction approximation Julia A. Meister K. Nguyen S. Kapetanakis Zhiyuan Luo 26 5 0 25 Jul 2022
MAPIE: an open-source library for distribution-free uncertainty quantification V. Taquet Vincent Blot Thomas Morzadec L. Lacombe Nicolas Brunel UQCV 31 17 0 25 Jul 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift Drew Prinster Anqi Liu Suchi Saria 22 13 0 21 Jul 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 45 21 0 20 Jul 2022
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets Charles Lu Anastasios Nikolas Angelopoulos S. Pomerantz 11 30 0 05 Jul 2022
Split Localized Conformal Prediction Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu 14 18 0 27 Jun 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 42 8 0 23 Jun 2022
Inductive Conformal Prediction: A Straightforward Introduction with Examples in Python Martim Sousa 14 2 0 23 Jun 2022
Conformal prediction set for time-series Chen Xu Yao Xie AI4TS 13 10 0 15 Jun 2022
Practical Adversarial Multivalid Conformal Prediction Osbert Bastani Varun Gupta Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 24 53 0 02 Jun 2022
A Confidence Machine for Sparse High-Order Interaction Model Diptesh Das Eugène Ndiaye Ichiro Takeuchi TPM 28 2 0 28 May 2022
Approximate Conditional Coverage & Calibration via Neural Model Approximations A. Schmaltz Danielle Rasooly UQCV 15 0 0 28 May 2022
Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee Youhui Ye Meimei Liu Xin Xing 17 0 0 22 May 2022
Conformal Prediction with Temporal Quantile Adjustments Zhen Lin Shubhendu Trivedi Jimeng Sun AI4TS 62 18 0 20 May 2022
Achieving Risk Control in Online Learning Settings Shai Feldman Liran Ringel Stephen Bates Yaniv Romano 78 28 0 18 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 31 49 0 12 May 2022
On the Utility of Prediction Sets in Human-AI Teams Varun Babbar Umang Bhatt Adrian Weller 28 31 0 03 May 2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly Spencer Whitehead Suzanne Petryk Vedaad Shakib Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 34 54 0 28 Apr 2022
Conformal Frequency Estimation with Sketched Data Matteo Sesia Stefano Favaro 14 5 0 08 Apr 2022
Raman Spectrum Matching with Contrastive Representation Learning Bo-wen Li Mikkel N. Schmidt T. S. Alstrøm 31 10 0 25 Feb 2022
Conformal Prediction Sets with Limited False Positives Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 26 23 0 15 Feb 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik T. Alshaabi S. Upadhyayula Yaniv Romano UQCV OOD 16 94 0 10 Feb 2022
Approximating Full Conformal Prediction at Scale via Influence Functions Javier Abad Umang Bhatt Adrian Weller Giovanni Cherubin 34 10 0 02 Feb 2022
Improving Expert Predictions with Conformal Prediction Eleni Straitouri Lequn Wang Nastaran Okati Manuel Gomez Rodriguez 51 30 0 28 Jan 2022
Predictive Inference with Weak Supervision Maxime Cauchois Suyash Gupta Alnur Ali John C. Duchi 28 10 0 20 Jan 2022
Classification Under Ambiguity: When Is Average-K Better Than Top-K? Titouan Lorieul Alexis Joly Dennis Shasha 24 1 0 16 Dec 2021
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 35 80 0 18 Oct 2021
Distribution-Free Federated Learning with Conformal Predictions Charles Lu Jayasheree Kalpathy-Cramer FedML OOD 14 17 0 14 Oct 2021
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching Osbert Bastani 23 0 0 11 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 102 125 0 03 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction Rachel Luo Shengjia Zhao Jonathan Kuck Boris Ivanovic Silvio Savarese Edward Schmerling Marco Pavone 58 56 0 28 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 20 67 0 09 Sep 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 44 586 0 15 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 29 0 0 25 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai Song Mei Huan Wang Caiming Xiong UQCV 15 13 0 10 Jun 2021
Improving Conditional Coverage via Orthogonal Quantile Regression Shai Feldman Stephen Bates Yaniv Romano 20 42 0 01 Jun 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Zhen Lin Shubhendu Trivedi Jimeng Sun 29 20 0 01 Jun 2021