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TripleE: Easy Domain Generalization via Episodic Replay. (arXiv:2210.01807v1 [cs.LG])
Oct. 6, 2022, 1:11 a.m. | Xiaomeng Li, Hongyu Ren, Huifeng Yao, Ziwei Liu
cs.LG updates on arXiv.org arxiv.org
Learning how to generalize the model to unseen domains is an important area
of research. In this paper, we propose TripleE, and the main idea is to
encourage the network to focus on training on subsets (learning with replay)
and enlarge the data space in learning on subsets. Learning with replay
contains two core designs, EReplayB and EReplayD, which conduct the replay
schema on batch and dataset, respectively. Through this, the network can focus
on learning with subsets instead of …
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