What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel

22 February 2023

Papers citing "What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel"

5 / 5 papers shown

Title
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 70 0 0 03 Jun 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective Bhagyashree Puranik Ahmad Beirami Yao Qin Upamanyu Madhow AAML 17 0 0 02 Nov 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014