Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

50 / 269 papers shown

Title
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 35 56 0 08 Jul 2022
Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting Hyeon-Kyeong Shin Hyewon Han Doyeon Kim Soo-Whan Chung Hong-Goo Kang 22 33 0 30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 27 34 0 29 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 33 4 0 28 Jun 2022
Uncertainty Calibration for Deep Audio Classifiers Tong Ye Shijing Si Jianzong Wang Ning Cheng Jing Xiao UQCV 6 0 0 27 Jun 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging Riqiang Gao Thomas Z. Li Yucheng Tang Zhoubing Xu M. Kammer S. Antic K. Sandler Fabien Maldonado Thomas A. Lasko Bennett Landman OOD 25 1 0 17 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 23 25 0 12 Jun 2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology Kyle Otstot J. Cava Tyler Sypherd Lalitha Sankar 21 0 0 05 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 25 11 0 03 Jun 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 13 362 0 28 May 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability John Kirchenbauer Jacob Oaks Eric Heim UQCV 36 4 0 23 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Identifying Moments of Change from Longitudinal User Text Adam Tsakalidis F. Nanni Anthony Hills Jenny Chim Jiayu Song M. Liakata 19 32 0 11 May 2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly Spencer Whitehead Suzanne Petryk Vedaad Shakib Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 26 54 0 28 Apr 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning Liang Xie Yibo Yang Deng Cai Xiaofei He 16 44 0 19 Apr 2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates Alina Roitberg Kunyu Peng David Schneider Kailun Yang Marios Koulakis Manuel Martínez Rainer Stiefelhagen UQCV 22 9 0 10 Apr 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 17 42 0 25 Mar 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong Cao Liu Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Weipeng Zhang Houfeng Wang UQCV 16 2 0 17 Mar 2022
Seamless lightning nowcasting with recurrent-convolutional deep learning J. Leinonen U. Hamann U. Germann 20 19 0 15 Mar 2022
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Edgar Dobriban 20 20 0 03 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 23 28 0 02 Mar 2022
Cyclical Focal Loss L. Smith 30 14 0 16 Feb 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin Shubhendu Trivedi Jimeng Sun 24 5 0 15 Feb 2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization D. Durfee Aman Gupta Kinjal Basu UQCV 11 2 0 10 Feb 2022
Theoretical characterization of uncertainty in high-dimensional linear classification Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová 24 20 0 07 Feb 2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration K. Wagstaff Thomas G. Dietterich 16 1 0 03 Feb 2022
Implementation of Convolutional Neural Network Architecture on 3D Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis Ping‐Chang Lin Teodora Szasz H. Runesha MedIm 14 1 0 29 Dec 2021
Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance Candelaria Mosquera Luciana Ferrer Diego H. Milone D.R. Luna Enzo Ferrante 24 3 0 23 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 19 15 0 22 Dec 2021
Mining Minority-class Examples With Uncertainty Estimates Gursimran Singh Lingyang Chu Lanjun Wang J. Pei Qi Tian Yong Zhang 18 1 0 15 Dec 2021
Obtaining Calibrated Probabilities with Personalized Ranking Models Wonbin Kweon SeongKu Kang Hwanjo Yu FedML 11 15 0 09 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 24 65 0 30 Nov 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou Q. Hu EDL UQCV 68 42 0 11 Nov 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$ Should Different Clinical Objectives Mandate Different Loss Functions? A. Saha Shengcai Liu J. Linmans M. Hosseinzadeh Ke Tang 23 8 0 25 Oct 2021
Identifying Incorrect Classifications with Balanced Uncertainty Bolian Li Zige Zheng Changqing Zhang UQCV 15 2 0 15 Oct 2021
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation Jonathan Sadeghi Blaine Rogers James Gunn Thomas Saunders Sina Samangooei P. Dokania John Redford 26 8 0 28 Sep 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 21 21 0 22 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 19 8 0 21 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 22 32 0 15 Sep 2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition Mobarakol Islam Lalithkumar Seenivasan Hongliang Ren Ben Glocker 20 18 0 11 Sep 2021
Logit Attenuating Weight Normalization Aman Gupta R. Ramanath Jun Shi Anika Ramachandran Sirou Zhou Mingzhou Zhou S. Keerthi 34 1 0 12 Aug 2021
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 17 84 0 30 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 34 1 0 22 Jul 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 6 135 0 21 Jul 2021
Top-label calibration and multiclass-to-binary reductions Chirag Gupta Aaditya Ramdas 17 35 0 18 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation Ian D Kivlichan Zi Lin J. Liu Lucy Vasserman 9 19 0 09 Jul 2021
Learning to Sample Replacements for ELECTRA Pre-Training Y. Hao Li Dong Hangbo Bao Ke Xu Furu Wei MU 11 11 0 25 Jun 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 31 10 0 18 Jun 2021