On the Limitations of Temperature Scaling for Distributions with Overlaps

1 June 2023

Papers citing "On the Limitations of Temperature Scaling for Distributions with Overlaps"

6 / 6 papers shown

Title
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang Minsu Kim Steven Euijong Whang 34 0 0 28 Mar 2025
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 18 0 0 10 Feb 2024
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 24 36 0 02 Aug 2023
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 294 10,216 0 16 Nov 2016