Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training

15 October 2020

Papers citing "Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training"

6 / 6 papers shown

Title
On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process Shun Iwase Shuya Takahashi Nakamasa Inoue Rio Yokota Ryo Nakamura Hirokatsu Kataoka 77 0 0 04 Mar 2025
LightHouse: A Survey of AGI Hallucination Feng Wang LRM HILM VLM 32 3 0 08 Jan 2024
Rethinking Adversarial Training with Neural Tangent Kernel Guanlin Li Han Qiu Shangwei Guo Jiwei Li Tianwei Zhang AAML 22 0 0 04 Dec 2023
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 27 119 0 21 Feb 2022
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 37 8 0 21 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017