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Verified Uncertainty Calibration

Neural Information Processing Systems (NeurIPS), 2019

23 September 2019

Papers citing "Verified Uncertainty Calibration"

50 / 265 papers shown

Title
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 191 30 0 25 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all?Neural Information Processing Systems (NeurIPS), 2022 Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 96 13 0 24 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 213 28 0 31 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shiftConference on Uncertainty in Artificial Intelligence (UAI), 2022 Ananya Kumar Tengyu Ma Abigail Z. Jacobs Aditi Raghunathan UQCV OODD OOD 176 43 0 18 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 197 16 0 04 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy StatebioRxiv (bioRxiv), 2022 Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 317 6 0 30 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-timeConference on Uncertainty in Artificial Intelligence (UAI), 2022 Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 119 0 0 23 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang Henry Lam Haofeng Zhang PER UD 133 6 0 09 Jun 2022
On Calibration of Graph Neural Networks for Node ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2022 Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 169 12 0 03 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 238 1 0 02 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 83 3 0 01 Jun 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability John Kirchenbauer Jacob Oaks Eric Heim UQCV 225 4 0 23 May 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation SystemsInternational Conference on Learning Representations (ICLR), 2022 Yewen Fan Nian Si Kun Zhang 235 5 0 19 May 2022
Metrics of calibration for probabilistic predictionsJournal of machine learning research (JMLR), 2022 Imanol Arrieta-Ibarra Paman Gujral Jonathan Tannen M. Tygert Cherie Xu 154 31 0 19 May 2022
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online AdvertisingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Penghui Wei Weimin Zhang Ruijie Hou Jinquan Liu Shaoguo Liu Liang Wang Bo Zheng 135 11 0 15 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep LearningNeural Information Processing Systems (NeurIPS), 2022 Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 248 65 0 12 May 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 129 2 0 29 Apr 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationComputer Vision and Pattern Recognition (CVPR), 2022 R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 157 52 0 25 Mar 2022
Model-Agnostic Multi-Agent Perception FrameworkIEEE International Conference on Robotics and Automation (ICRA), 2022 Runsheng Xu Weizhe (Wesley) Chen Hao Xiang Lantao Liu Jiaqi Ma FedML 303 77 0 24 Mar 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty LossAAAI Conference on Artificial Intelligence (AAAI), 2022 Yantao Gong Cao Liu Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Weipeng Zhang Houfeng Wang UQCV 148 4 0 17 Mar 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of ClassifiersMachine-mediated learning (ML), 2022 Markus Kängsepp Kaspar Valk Meelis Kull 229 3 0 16 Mar 2022
Better Uncertainty Calibration via Proper Scores for Classification and BeyondNeural Information Processing Systems (NeurIPS), 2022 Sebastian G. Gruber Florian Buettner UQCV 187 61 0 15 Mar 2022
T-Cal: An optimal test for the calibration of predictive modelsJournal of machine learning research (JMLR), 2022 Donghwan Lee Xinmeng Huang Hamed Hassani Guang Cheng 420 23 0 03 Mar 2022
Confidence Calibration for Object Detection and Segmentation Fabian Küppers Anselm Haselhoff Jan Kronenberger Jonas Schneider UQCV 170 7 0 25 Feb 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 190 17 0 24 Feb 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2022 Zhen Lin Shubhendu Trivedi Jimeng Sun 143 7 0 15 Feb 2022
Conformal Prediction Sets with Limited False PositivesInternational Conference on Machine Learning (ICML), 2022 Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 133 24 0 15 Feb 2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization D. Durfee Aman Gupta Kinjal Basu UQCV 89 2 0 10 Feb 2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration K. Wagstaff Thomas G. Dietterich 183 1 0 03 Feb 2022
On the relationship between calibrated predictors and unbiased volume estimationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 167 15 0 23 Dec 2021
Classifier Calibration: A survey on how to assess and improve predicted class probabilitiesMachine-mediated learning (ML), 2021 Telmo de Menezes e Silva Filho Hao Song Miquel Perelló Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach 309 118 0 20 Dec 2021
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 183 12 0 16 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 139 6 0 03 Dec 2021
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Juil Sock Alan Yuille S. Bai ViT 319 120 0 18 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong Sejun Park Minkyu Kim Heung-Chang Lee Do-Guk Kim Jinwoo Shin AAML 148 64 0 17 Nov 2021
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 178 9 0 04 Nov 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 226 8 0 28 Oct 2021
Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning Dimitrios Boursinos X. Koutsoukos 98 1 0 07 Oct 2021
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning Dimitrios Boursinos X. Koutsoukos 174 12 0 07 Oct 2021
Post-hoc Models for Performance Estimation of Machine Learning Inference Xuechen Zhang Samet Oymak Jiasi Chen UQCV 133 6 0 06 Oct 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration Gavin Kerrigan Padhraic Smyth M. Steyvers 119 60 0 29 Sep 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 567 335 0 28 Sep 2021
When in Doubt: Improving Classification Performance with Alternating Normalization Menglin Jia A. Reiter Ser-Nam Lim Yoav Artzi Claire Cardie 125 13 0 28 Sep 2021
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets Michael Kranzlein Nelson F. Liu Nathan Schneider 109 3 0 15 Sep 2021
DROMO: Distributionally Robust Offline Model-based Policy Optimization Ruizhen Liu Dazhi Zhong Zhi-Cong Chen OffRL 123 3 0 15 Sep 2021
Soft Calibration Objectives for Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 358 103 0 30 Jul 2021
Top-label calibration and multiclass-to-binary reductionsInternational Conference on Learning Representations (ICLR), 2021 Chirag Gupta Aaditya Ramdas 240 49 0 18 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 112 5 0 09 Jul 2021
Assessing Generalization of SGD via DisagreementInternational Conference on Learning Representations (ICLR), 2021 Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 260 129 0 25 Jun 2021
PAC Prediction Sets Under Covariate ShiftInternational Conference on Learning Representations (ICLR), 2021 Sangdon Park Guang Cheng Insup Lee Osbert Bastani 233 48 0 17 Jun 2021