On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity Seo Taek Kong Soomin Jeon Dongbin Na Jaewon Lee Honglak Lee Kyu-Hwan Jung 23 6 0 08 Apr 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation Petro Marek V. Naik Vincent Auvray Anuj Kumar Goyal 25 32 0 06 Apr 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Tong Xia Jing Han Lorena Qendro T. Dang Cecilia Mascolo 29 28 0 05 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 14 722 0 02 Apr 2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks Shyamgopal Karthik Ameya Prabhu P. Dokania Vineet Gandhi 14 21 0 01 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu-Lin Liu Jiaya Jia 15 288 0 01 Apr 2021
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow Shangrong Yang Chunyu Lin K. Liao Chunjie Zhang Yao-Min Zhao 22 43 0 30 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 39 0 29 Mar 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 33 61 0 29 Mar 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 22 31 0 29 Mar 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 31 19 0 28 Mar 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 35 1 0 28 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay K. Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 38 76 0 25 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 29 112 0 24 Mar 2021
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset Lukás Picek Milan Šulc Jirí Matas J. Heilmann‐Clausen T. Jeppesen T. Læssøe T. Frøslev 30 54 0 18 Mar 2021
Exploring Genetic-histologic Relationships in Breast Cancer R. Chauhan P. Vinod C. V. Jawahar 13 5 0 15 Mar 2021
Learning Word-Level Confidence For Subword End-to-End ASR David Qiu Qiujia Li Yanzhang He Yu Zhang Bo-wen Li ... Deepti Bhatia Wei Li Ke Hu Tara N. Sainath Ian McGraw 24 32 0 11 Mar 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 14 22 0 10 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 35 57 0 08 Mar 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 30 27 0 06 Mar 2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models Zhen Lin Cao Xiao Lucas Glass M. P. M. Brandon Westover Jimeng Sun BDL 21 11 0 05 Mar 2021
Loss Estimators Improve Model Generalization V. Narayanaswamy Jayaraman J. Thiagarajan Deepta Rajan A. Spanias OOD UQCV 19 0 0 05 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 36 174 0 05 Mar 2021
Distribution-free uncertainty quantification for classification under label shift A. Podkopaev Aaditya Ramdas UQCV 14 83 0 04 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 27 93 0 02 Mar 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 32 32 0 02 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 25 37 0 25 Feb 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 21 107 0 24 Feb 2021
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps Alvaro Gomariz Tiziano Portenier C. Nombela-Arrieta O. Goksel UQCV 19 6 0 23 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 24 145 0 23 Feb 2021
Local Calibration: Metrics and Recalibration Rachel Luo Aadyot Bhatnagar Yu Bai Shengjia Zhao Huan Wang Caiming Xiong Silvio Savarese Stefano Ermon Edward Schmerling Marco Pavone 19 14 0 22 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 27 85 0 20 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 27 151 0 20 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 14 96 0 18 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 184 53 0 17 Feb 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li David Duvenaud BDL UQCV 27 46 0 12 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 31 67 0 11 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 29 35 0 05 Feb 2021
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization Hyeryung Jang Osvaldo Simeone 31 0 0 05 Feb 2021
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint Ella Y. Wang Anirudh Som Ankita Shukla Hongjun Choi P. Turaga OOD 46 3 0 02 Feb 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 241 509 0 15 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 50 51 0 14 Jan 2021
X-CAL: Explicit Calibration for Survival Analysis Mark Goldstein Xintian Han A. Puli A. Perotte Rajesh Ranganath 33 37 0 13 Jan 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 173 30 0 12 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 27 68 0 08 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 27 68 0 07 Jan 2021