Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

50 / 269 papers shown

Title
Trust your neighbours: Penalty-based constraints for model calibration Balamurali Murugesan V. SukeshAdiga Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 15 9 0 11 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Hee Suk Yoon Joshua Tian Jin Tee Eunseop Yoon Sunjae Yoon G. Kim Yingzhen Li Changdong Yoo UQCV MQ 15 8 0 04 Mar 2023
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen Yingzhen Li UQCV 19 12 0 04 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan W. Verjans G. Carneiro M. A. G. Ballester UQCV 8 7 0 02 Mar 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 26 5 0 13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 6 5 0 13 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David A. Wagner 29 32 0 08 Feb 2023
Cut your Losses with Squentropy Like Hui M. Belkin S. Wright UQCV 13 8 0 08 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness Ailin Deng Shen Li Miao Xiong Zhirui Chen Bryan Hooi 16 4 0 06 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 24 1 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 24 0 0 02 Feb 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 35 0 0 27 Dec 2022
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Dongdong Wang Boqing Gong Liqiang Wang 18 23 0 22 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 26 1 0 22 Dec 2022
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning R. Hebbalaguppe Rishabh Patra T. Dash Gautam M. Shroff L. Vig 16 14 0 20 Dec 2022
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments Peter Mortimer Hans-Joachim Wuensche 11 6 0 19 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Task Bias in Vision-Language Models Sachit Menon I. Chandratreya Carl Vondrick VLM SSL 17 6 0 08 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 14 30 0 05 Dec 2022
Class Adaptive Network Calibration Bingyuan Liu Jérôme Rony Adrian Galdran Jose Dolz Ismail Ben Ayed 40 8 0 28 Nov 2022
Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats R. Ghosh Harjeet Singh Kajal Sharanya Kamath Dhuri Shrivastava S. Basu Soundararajan Srinivasan 16 4 0 27 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 21 25 0 21 Nov 2022
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data Huy Hoang Nguyen Matthew B. Blaschko S. Saarakkala A. Tiulpin MedIm AI4CE 48 15 0 25 Oct 2022
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 39 12 0 23 Oct 2022
Hard Gate Knowledge Distillation -- Leverage Calibration for Robust and Reliable Language Model Dongkyu Lee Zhiliang Tian Ying Zhao Ka Chun Cheung N. Zhang 28 3 0 22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 49 4 0 21 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 185 22 0 20 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 48 11 0 20 Oct 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 15 29 0 13 Oct 2022
Improving the Reliability for Confidence Estimation Haoxuan Qu Yanchao Li Lin Geng Foo Jason Kuen Jiuxiang Gu Jun Liu UQCV 21 9 0 13 Oct 2022
Can Calibration Improve Sample Prioritization? Ganesh Tata Gautham Krishna Gudur Gopinath Chennupati Mohammad Emtiyaz Khan 9 0 0 12 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Ambiguous Images With Human Judgments for Robust Visual Event Classification Kate Sanders Reno Kriz Anqi Liu Benjamin Van Durme 63 12 0 06 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 27 58 0 04 Oct 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip H. S. Torr P. Dokania Ser-Nam Lim OODD 13 4 0 24 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 18 5 0 23 Sep 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 25 1 0 23 Sep 2022
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence Furkan Ulger S. E. Yuksel Atila Yilmaz Dincer Gokcen UQCV 13 3 0 20 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 32 0 0 09 Sep 2022
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets Esla Timothy Anzaku Haohan Wang Arnout Van Messem W. D. Neve 27 2 0 05 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 23 16 0 25 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation C. Ouyang Shuo Wang C. L. P. Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip H. S. Torr P. Dokania UQCV AAML 24 48 0 22 Jul 2022
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation Timo Sämann A. Hammam Andrei Bursuc Christoph Stiller H. Groß FedML 25 1 0 22 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 22 18 0 20 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 39 38 0 18 Jul 2022
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples Chen Liu Xiaomeng Dong Michael Potter Hsi-Ming Chang Ravi Soni 11 2 0 15 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 19 30 0 13 Jul 2022