47 citations · 60 across the 5 of their papers we have counts for
5 papers
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…
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…
MMED: A Multi-domain and Multi-modality Event Dataset
Zhenguo Yang, Zehang Lin, Min Cheng +2
In this work, we construct and release a multi-domain and multi-modality event dataset (MMED), containing 25,165 textual news articles collected from hundreds of news media sites (…
Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval
Zhenguo Yang, Zehang Lin, Peipei Kang +3
In this paper, we propose to learn shared semantic space with correlation alignment () for multimodal data representations, which aligns nonlinear correlations of multim…
T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction
Jianming Lv, Qing Li, Xintong Wang
Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional prediction approaches, whic…