What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

23 February 2023

Papers citing "What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers"

8 / 8 papers shown

Title
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 33 1 0 05 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 57 1 0 30 Oct 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 52 0 0 02 Jul 2024
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 41 2 0 12 Jun 2024
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 19 5 0 05 Jun 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 166 684 0 22 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015