15 citations · 36 across the 4 of their papers we have counts for
4 papers
Surrogate Gap Minimization Improves Sharpness-Aware Training
Juntang Zhuang, Boqing Gong, Liangzhe Yuan +6
The recently proposed Sharpness-Aware Minimization (SAM) improves generalization by minimizing a \textit{perturbed loss} defined as the maximum loss within a neighborhood in the pa…
Revisiting 3D ResNets for Video Recognition
Xianzhi Du, Yeqing Li, Yin Cui +3
A recent work from Bello shows that training and scaling strategies may be more significant than model architectures for visual recognition. This short note studies effective train…
Federated Multi-Target Domain Adaptation
Chun-Han Yao, Boqing Gong, Yin Cui +3
Federated learning methods enable us to train machine learning models on distributed user data while preserving its privacy. However, it is not always feasible to obtain high-quali…
Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra
Yi Zhou, Yin Cui, Xiaoke Xu +2
It is challenging to detect small-floating object in the sea clutter for a surface radar. In this paper, we have observed that the backscatters from the target brake the continuity…