Clarinet: A One-step Approach Towards Budget-friendly Unsupervised
Domain Adaptation

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation

29 July 2020

Guangquan Zhang

Papers citing "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation"

10 / 10 papers shown

Title
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il Kim Guanghui CLL 70 1 0 26 Jan 2025
Autonomous Cross Domain Adaptation under Extreme Label Scarcity Weiwei Weng Mahardhika Pratama Choiru Za’in Marcus Vinícius de Carvalho Appan Rakaraddi Andri Ashfahani E. Yapp 27 7 0 04 Sep 2022
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms Guangzhi Ma Jie Lu Feng Liu Zhen Fang Guangquan Zhang 21 6 0 09 Jun 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 33 169 0 22 Mar 2022
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 35 27 0 11 Jun 2021
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition Zhenyue Qin Yang Liu Pan Ji Dongwoo Kim Lei Wang Bob McKay Saeed Anwar Tom Gedeon 3DPC 29 74 0 04 May 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 25 54 0 30 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting Jiahua Dong Yang Cong Gan Sun Bingtao Ma Lichen Wang 3DPC CLL 43 32 0 16 Dec 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 28 70 0 04 Aug 2020
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 58 184 0 12 Mar 2019