Verified Uncertainty Calibration

23 September 2019

Papers citing "Verified Uncertainty Calibration"

42 / 242 papers shown

Title
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Stronger Calibration Lower Bounds via Sidestepping Mingda Qiao Gregory Valiant 42 18 0 07 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 222 0 20 Nov 2020
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration Shengjia Zhao Stefano Ermon 6 8 0 15 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 37 1,877 0 12 Nov 2020
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park Shuo Li Insup Lee Osbert Bastani UQCV 8 25 0 02 Nov 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 34 44 0 19 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 11 4 0 08 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 16 7 0 25 Sep 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 6 51 0 23 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 18 94 0 17 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 23 9 0 14 Sep 2020
Measuring Massive Multitask Language Understanding Dan Hendrycks Collin Burns Steven Basart Andy Zou Mantas Mazeika D. Song Jacob Steinhardt ELM RALM 8 3,838 0 07 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 11 2 0 03 Sep 2020
Privacy Preserving Recalibration under Domain Shift Rachel Luo Shengjia Zhao Jiaming Song Jonathan Kuck Stefano Ermon Silvio Savarese 6 3 0 21 Aug 2020
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited Timo Dimitriadis T. Gneiting Alexander I. Jordan 17 60 0 07 Aug 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation Ximei Wang Mingsheng Long Jianmin Wang Michael I. Jordan 9 51 0 16 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 17 6 0 03 Jul 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 18 143 0 03 Jul 2020
Class-Similarity Based Label Smoothing for Confidence Calibration Chihuang Liu J. JáJá UQCV 6 1 0 24 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 6 34 0 23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers Amir M. Rahimi Thomas Mensink Kartik Gupta Thalaiyasingam Ajanthan C. Sminchisescu Richard I. Hartley 12 5 0 23 Jun 2020
Calibration of Neural Networks using Splines Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Richard I. Hartley 10 106 0 23 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta A. Podkopaev Aaditya Ramdas UQCV 23 79 0 18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 6 436 0 17 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 27 11 0 16 Jun 2020
Dynamic Feature Acquisition with Arbitrary Conditional Flows Yang Li Junier B. Oliva TPM 6 6 0 13 Jun 2020
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 6 300 0 03 Jun 2020
Probabilistic Object Classification using CNN ML-MAP layers Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonçalves 6 4 0 29 May 2020
Posterior Calibrated Training on Sentence Classification Tasks Taehee Jung Dongyeop Kang Hua Cheng L. Mentch Thomas Schaaf UQCV 9 12 0 29 Apr 2020
A Unified View of Label Shift Estimation Saurabh Garg Yifan Wu Sivaraman Balakrishnan Zachary Chase Lipton 8 138 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 11 220 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Richard I. Hartley Byron Boots UQCV 6 68 0 15 Mar 2020
Quantile Regularization: Towards Implicit Calibration of Regression Models Saiteja Utpala Piyush Rai UQCV 4 7 0 28 Feb 2020
On the Role of Dataset Quality and Heterogeneity in Model Confidence Yuan Zhao Jiasi Chen Samet Oymak 14 12 0 23 Feb 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip H. S. Torr P. Dokania UQCV 16 444 0 21 Feb 2020
Active Bayesian Assessment for Black-Box Classifiers Disi Ji Robert L Logan IV Padhraic Smyth M. Steyvers UQCV 6 15 0 16 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 17 314 0 15 Feb 2020
On the Validity of Bayesian Neural Networks for Uncertainty Estimation John Mitros Brian Mac Namee UQCV BDL 8 29 0 03 Dec 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 14 367 0 28 Oct 2019
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 13 92 0 24 Oct 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 36 1,417 0 16 Jul 2019