Search results
Poster. Boosting Transferability and Discriminability for Time Series Domain Adaptation. Mingyang Liu · Xinyang Chen · Yang Shu · Xiucheng Li · Weili Guan · Liqiang Nie. [ Abstract ] Wed 11 Dec 11 a.m. PST — 2 p.m. PST. Live content is unavailable. Log in and register to view live content. Successful Page Load.
Extensive experiments conducted on four widely used benchmark datasets demonstrate that ZeroNAS is capable of discovering desirable architectures that perform favorably against state-of-the-art ZSL and generalized zero-shot learning (GZSL) approaches.
Yan C, Chang X, Li Z, Guan W, Ge Z, Zhu L et al. ZeroNAS: differentiable generative Adversarial Networks search for zero-shot learning. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2022 Dec 1;44(12):9733-9740. doi: 10.1109/TPAMI.2021.3127346
Caixia Yan, Xiaojun Chang , Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, and Qinghua Zheng Abstract—In recent years, remarkable progress in zero-shot learning (ZSL) has been achieved by generative adversarial networks (GAN). To compensate for the lack of training samples in ZSL, a surge of GAN architectures have been developed by human experts
5 gru 2022 · Details and statistics. DOI: 10.1109/TPAMI.2021.3127346. access: closed. type: Journal Article. metadata version: 2022-12-05. Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng: ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning.
19 sty 2024 · Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, and Qinghua Zheng. ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12): 9733-9740 (2022).
Huiting Li, Weiyu Zhang∗, Yong Shang, Wenpeng Lu. Collaborative Prediction of Drug-target Interaction using Sequence-based CNN and Transformer. Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design ( CSCWD 2024 )[C].
