no code implementations • 21 Dec 2023 • Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
Therefore, current works first train a model on source domains with sufficiently labeled data, and then transfer the model to target domains where only rarely labeled data is available.
1 code implementation • 23 May 2023 • Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
However, such a cooperative game may incur the degeneration problem where the predictor overfits to the uninformative pieces generated by a not yet well-trained generator and in turn, leads the generator to converge to a sub-optimal model that tends to select senseless pieces.
1 code implementation • 26 Oct 2022 • Pengyue Hou, Jie Han, Xingyu Li
Deep Neural Networks are vulnerable to adversarial attacks.
no code implementations • 28 Apr 2022 • Pengyue Hou, Ming Zhou, Jie Han, Petr Musilek, Xingyu Li
Adversarial training is an effective method to boost model robustness to malicious, adversarial attacks.
no code implementations • 13 Oct 2021 • Haichao Yu, Zhe Chen, Dong Lin, Gil Shamir, Jie Han
Dropout has been commonly used to quantify prediction uncertainty, i. e, the variations of model predictions on a given input example.
no code implementations • 31 May 2021 • Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong
In this paper, we focus on the multi-object tracking (MOT) problem of automatic driving and robot navigation.
no code implementations • 22 Jul 2019 • Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
Further, the application of SC has been investigated in DNNs in prior work, and the suitability has been illustrated as SC is more compatible with approximate computations.
no code implementations • 3 Feb 2018 • Xiaolong Ma, Yi-Peng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
However, in these works, the memory design optimization is neglected for weight storage, which will inevitably result in large hardware cost.