On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade Lei Li Yankai Lin Deli Chen Shuhuai Ren Peng Li Jie Zhou Xu Sun 29 51 0 29 Dec 2020
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 40 133 0 21 Dec 2020
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation Haowen Deng Mai Bui Nassir Navab Leonidas J. Guibas Slobodan Ilic Tolga Birdal 3DH 28 58 0 20 Dec 2020
Image-Based Jet Analysis Michael Kagan 17 7 0 17 Dec 2020
Weakly Supervised Label Smoothing Gustavo Penha C. Hauff 11 3 0 15 Dec 2020
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Richard I. Hartley UQCV EDL 26 6 0 10 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 37 122 0 10 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 32 31 0 09 Dec 2020
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey Xiaoqin Zhang Yan Hu Zunjie Xiao Jiansheng Fang Risa Higashita Jiang-Dong Liu 48 41 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 30 22 0 05 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 35 274 0 26 Nov 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 24 36 0 25 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 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 24 223 0 20 Nov 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 8 64 0 06 Nov 2020
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park Shuo Li Insup Lee Osbert Bastani UQCV 24 25 0 02 Nov 2020
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild Zhe Zhang Chunyu Wang Weichao Qiu Wenhu Qin Wenjun Zeng 3DH 24 87 0 26 Oct 2020
$Scale-, shift- and rotation-invariant diffractive optical networks$ Scale-, shift- and rotation-invariant diffractive optical networks Deniz Mengu Y. Rivenson Aydogan Ozcan 52 65 0 24 Oct 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 17 10 0 24 Oct 2020
Posterior Re-calibration for Imbalanced Datasets Junjiao Tian Yen-Cheng Liu Nathan Glaser Yen-Chang Hsu Z. Kira 21 62 0 22 Oct 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 70 64 0 22 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 21 26 0 22 Oct 2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition Qiujia Li David Qiu Yu Zhang Bo-wen Li Yanzhang He P. Woodland Liangliang Cao Trevor Strohman 4 46 0 22 Oct 2020
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering Chenyu You Nuo Chen Yuexian Zou 11 36 0 21 Oct 2020
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer Javier Fernández L. Bornn 9 28 0 20 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 32 63 0 19 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 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
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making Charvi Rastogi Yunfeng Zhang Dennis L. Wei Kush R. Varshney Amit Dhurandhar Richard J. Tomsett HAI 32 108 0 15 Oct 2020
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization Cheng Yu Bo Wang Bo Yang R. Tan 3DH 17 3 0 13 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 27 95 0 10 Oct 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 23 70 0 09 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 71 1,290 0 08 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 36 5 0 07 Oct 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? Yixin Nie Xiang Zhou Joey Tianyi Zhou 21 129 0 07 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng Qi Feng G. Karagiannis Guang Lin F. Liang 33 8 0 02 Oct 2020
Testing for Normality with Neural Networks M. Simic 21 6 0 29 Sep 2020
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving Jianhao Jiao Peng Yun L. Tai Ming-Yu Liu 3DPC 19 10 0 29 Sep 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime J. Bornschein Francesco Visin Simon Osindero 13 36 0 26 Sep 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 21 7 0 25 Sep 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference Bang An Jie Lyu Zhenyi Wang Chunyuan Li Changwei Hu Fei Tan Ruiyi Zhang Yifan Hu Changyou Chen AAML 14 28 0 20 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine S. Feizi Tom Goldstein UQCV 28 38 0 17 Sep 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 23 45 0 11 Sep 2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 22 74 0 11 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 35 7 0 10 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 26 2 0 03 Sep 2020