1 code implementation • 30 Oct 2023 • Zhaocong Li
To this end, we propose a modular learning network augmented with grasp detection and semantic segmentation, tailored for robots equipped with parallel-plate grippers.
1 code implementation • 3 May 2023 • Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
Moreover, the knowledge memorized by PLMs may quickly become outdated, which affects the generalization performance of PLMs on future data.
1 code implementation • 8 Dec 2022 • Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang
In this paper, we propose a novel transfer learning method for NMT, namely ConsistTL, which can continuously transfer knowledge from the parent model during the training of the child model.