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Confidence-Aware Learning for Deep Neural Networks

3 July 2020

Papers citing "Confidence-Aware Learning for Deep Neural Networks"

32 / 32 papers shown

Title
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception Divake Kumar Nastaran Darabi Sina Tayebati A. R. Trivedi 204 0 0 11 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 115 1 0 07 Feb 2025
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 135 3 0 20 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 445 2 0 19 Oct 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 140 1 0 02 Nov 2023
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? Ryne Roady Tyler L. Hayes Ronald Kemker Ayesha Gonzales Christopher Kanan OODD 67 20 0 30 Oct 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 109 291 0 01 Oct 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 180 357 0 23 Sep 2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout Zhilu Zhang Adrian Dalca M. Sabuncu UQCV BDL 59 48 0 23 Jun 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 663 0 09 May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 134 741 0 12 Dec 2018
Dropout Distillation for Efficiently Estimating Model Confidence Corina Gurau Alex Bewley Ingmar Posner BDL UQCV 50 19 0 27 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 194 2,063 0 10 Jul 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 179 473 0 30 May 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 59 141 0 21 May 2018
Failure Prediction for Autonomous Driving Simon Hecker Dengxin Dai Luc Van Gool 84 58 0 04 May 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 88 592 0 13 Feb 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 99 530 0 23 May 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 144 953 0 01 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 176 3,480 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 816 36,892 0 25 Aug 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 114 2,346 0 10 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 867 9,353 0 06 Jun 2015
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking Pingmei Xu Krista A. Ehinger Yinda Zhang Adam Finkelstein Sanjeev R. Kulkarni Jianxiong Xiao 63 374 0 25 Apr 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 289 14,968 1 21 Dec 2013