most citedMMED: A Multi-domain and Multi-modality Event Dataset

3 citations · 5 across the 2 of their papers we have counts for

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cs.CV2020

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization

Yangbin Chen, Yun Ma, Tom Ko +2

Model-Agnostic Meta-Learning (MAML) and its variants are popular few-shot classification methods. They train an initializer across a variety of sampled learning tasks (also known a…

cs.CV2019

Virtual Mixup Training for Unsupervised Domain Adaptation

Xudong Mao, Yun Ma, Zhenguo Yang +2

We study the problem of unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain. Recently, the cluster…