On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 21 31 0 13 Jul 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration Shengjia Zhao Michael P. Kim Roshni Sahoo Tengyu Ma Stefano Ermon 20 55 0 12 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 22 51 0 12 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 21 47 0 09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 41 1,111 0 07 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 20 116 0 07 Jul 2021
FaVIQ: FAct Verification from Information-seeking Questions Jungsoo Park Sewon Min Jaewoo Kang Luke Zettlemoyer Hannaneh Hajishirzi HILM 32 37 0 05 Jul 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 30 10 0 30 Jun 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification Benedikt T. Boenninghoff R. M. Nickel D. Kolossa OODD 45 12 0 30 Jun 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 26 61 0 29 Jun 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 98 0 29 Jun 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 58 289 0 28 Jun 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma Ziyun Huang Jiayi Xian Mingchen Gao Jinhui Xu UQCV 30 14 0 25 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 16 8 0 22 Jun 2021
The Hitchhiker's Guide to Prior-Shift Adaptation Tomas Sipka Milan Šulc Jirí Matas VLM 13 16 0 22 Jun 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 39 10 0 18 Jun 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Yan Sun Insup Lee Osbert Bastani 32 42 0 17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 27 2 0 17 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 51 358 0 15 Jun 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci Kevin Roth Gregor Bachmann Sebastian Nowozin Thomas Hofmann CML 30 23 0 11 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 39 62 0 10 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 28 81 0 09 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 30 22 0 08 Jun 2021
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations? Thierry Deruyttere Victor Milewski Marie-Francine Moens 30 15 0 08 Jun 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 30 20 0 07 Jun 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra Kanil Patel William H. Beluch K. Rambach Adriana-Eliza Cozma Michael Pfeiffer Bin Yang EDL UQCV 18 5 0 01 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 28 37 0 30 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 25 3 0 28 May 2021
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond Daniel Loureiro A. Jorge Jose Camacho-Collados 33 26 0 26 May 2021
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling Akis Linardos Matthias Kümmerer Ori Press Matthias Bethge MDE 24 65 0 26 May 2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network Dipika Singhania R. Rahaman Angela Yao AI4TS 16 55 0 23 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 181 53 0 19 May 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 27 37 0 10 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 25 34 0 10 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 30 33 0 10 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 29 39 0 09 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 23 20 0 07 May 2021
Salient Objects in Clutter Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 39 42 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 46 7 0 06 May 2021
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack Yixu Wang Jie Li Hong Liu Yan Wang Yongjian Wu Feiyue Huang Rongrong Ji AAML 25 34 0 03 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 41 227 0 30 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 30 29 0 26 Apr 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty Boris Ivanovic Kuan-Hui Lee P. Tokmakov Blake Wulfe R. McAllister Adrien Gaidon Marco Pavone 22 35 0 26 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 79 17 0 23 Apr 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems Shohei Enomoto Takeharu Eda UQCV 46 17 0 15 Apr 2021
ExplainaBoard: An Explainable Leaderboard for NLP Pengfei Liu Jinlan Fu Yanghua Xiao Weizhe Yuan Shuaichen Chang Junqi Dai Yixin Liu Zihuiwen Ye Zi-Yi Dou Graham Neubig XAI LRM ELM 28 54 0 13 Apr 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 35 21 0 13 Apr 2021