Summary of Overcoming the Challenges Of Batch Normalization in Federated Learning, by Rachid Guerraoui et al.
Overcoming the Challenges of Batch Normalization in Federated Learningby Rachid Guerraoui, Rafael Pinot, Geovani Rizk,…
Overcoming the Challenges of Batch Normalization in Federated Learningby Rachid Guerraoui, Rafael Pinot, Geovani Rizk,…
Adaptive Batch Normalization Networks for Adversarial Robustnessby Shao-Yuan Lo, Vishal M. PatelFirst submitted to arxiv…
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistencyby Linshan Hou, Ruili Feng, Zhongyun Hua, Wei…
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalizationby Yao Ni, Piotr KoniuszFirst…
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networksby Marina Neseem, Conor McCullough, Randy Hsin, Chas…
MedBN: Robust Test-Time Adaptation against Malicious Test Samplesby Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon…
Towards Understanding Dual BN In Hybrid Adversarial Trainingby Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi…
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learningby Wenzhuo Liu, Fei Zhu, Cheng-Lin LiuFirst…
One-Shot Domain Incremental Learningby Yasushi Esaki, Satoshi Koide, Takuro KutsunaFirst submitted to arxiv on: 25…
Magic for the Age of Quantized DNNsby Yoshihide Sawada, Ryuji Saiin, Kazuma SuetakeFirst submitted to…