Improving Uncertainty Calibration of Deep Neural Networks via Truth
Discovery and Geometric Optimization

Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization

25 June 2021

Papers citing "Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization"

12 / 12 papers shown

Title
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 11 3 0 14 Sep 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 25 0 0 11 Jan 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
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 27 1 0 09 Dec 2022
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 26 9 0 22 Nov 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 18 29 0 13 Oct 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning Chunwei Ma Zhanghexuan Ji Ziyun Huang Yan Shen Mingchen Gao Jinhui Xu 25 1 0 28 Jul 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 9 0 0 23 Jun 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 18 4 0 05 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015