An Empirical Evaluation on Robustness and Uncertainty of Regularization
Methods

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods

9 March 2020

Papers citing "An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods"

12 / 12 papers shown

Title
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 21 1 0 08 Dec 2022
On Pitfalls of Measuring Occlusion Robustness through Data Distortion Antonia Marcu 28 0 0 24 Nov 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 28 0 0 26 Jul 2022
Few-shot Font Generation with Weakly Supervised Localized Representations Song Park Sanghyuk Chun Junbum Cha Bado Lee Hyunjung Shim 19 10 0 22 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 137 0 09 Dec 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 21 6 0 08 Oct 2021
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 30 240 0 19 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015