no code implementations • 23 Mar 2024 • Zhicheng Du, Zhaotian Xie, Huazhang Ying, Likun Zhang, Peiwu Qin
This study explores the ability of Image Captioning (IC) models to decode masked visual content sourced from diverse datasets.
no code implementations • 16 Jul 2023 • Likun Zhang, Xiaoyu Ma, Christopher K. Wikle, Raphaël Huser
In this paper, we aim to push the boundaries on computation and modeling of high-dimensional spatial extremes via integrating a new spatial extremes model that has flexible and non-stationary dependence properties in the encoding-decoding structure of a variational autoencoder called the XVAE.
1 code implementation • 20 Feb 2020 • Yilin Kang, Yong liu, Ben Niu, Xin-Yi Tong, Likun Zhang, Weiping Wang
By adding noise to the original training data and training with the `perturbed data', we achieve ($\epsilon$,$\delta$)-differential privacy on the final model, along with some kind of privacy on the original data.