Improving Robustness with Adaptive Weight Decay

30 September 2022

Papers citing "Improving Robustness with Adaptive Weight Decay"

8 / 8 papers shown

Title
OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Alberto Fernández-Hernández José I. Mestre M. F. Dolz Jose Duato Enrique S. Quintana-Ortí 24 0 0 24 Apr 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 47 0 0 19 Mar 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Shakeeb Murtaza M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 54 4 0 28 Jan 2025
No More Adam: Learning Rate Scaling at Initialization is All You Need Minghao Xu Lichuan Xiang Xu Cai Hongkai Wen 73 2 0 16 Dec 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 23 0 0 16 Oct 2024
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 384 142 0 13 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 217 674 0 19 Oct 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 124 102 0 17 Oct 2019