Noisy Feature Mixup

Noisy Feature Mixup

5 October 2021

N. Benjamin Erichson

Francisco Utrera

Michael W. Mahoney

Papers citing "Noisy Feature Mixup"

11 / 11 papers shown

Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 74 1 0 12 Mar 2025
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation Junehyoung Kwon Eunju Lee Yunsung Cho Youngbin Kim 51 4 0 28 May 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 30 0 0 10 Feb 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 26 4 0 25 May 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 41 29 0 30 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback N. Benjamin Erichson S. H. Lim Michael W. Mahoney 26 6 0 01 Dec 2022
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 38 78 0 13 Jun 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016