IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

7 October 2023

Papers citing "IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers"

8 / 8 papers shown

Title
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 24 5 0 09 Dec 2022
Improving Fractal Pre-training Connor Anderson Ryan Farrell 80 27 0 06 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 173 268 0 28 Sep 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 897 0 28 Apr 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 115 0 21 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 668 0 19 Oct 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016