4 citations · 11 across the 4 of their papers we have counts for
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cs.LG2021★ 3 cited
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Chunwei Ma, Ziyun Huang, Jiayi Xian +2
Deep Neural Networks (DNNs), despite their tremendous success in recent years, could still cast doubts on their predictions due to the intrinsic uncertainty associated with their l…
cs.LG2021★ 4 cited
Meta-Learning with Neural Tangent Kernels
Yufan Zhou, Zhenyi Wang, Jiayi Xian +2
Model Agnostic Meta-Learning (MAML) has emerged as a standard framework for meta-learning, where a meta-model is learned with the ability of fast adapting to new tasks. However, as…
cs.LG2020★ 2 cited
Graph Neural Networks with Composite Kernels
Yufan Zhou, Jiayi Xian, Changyou Chen +1
Learning on graph structured data has drawn increasing interest in recent years. Frameworks like Graph Convolutional Networks (GCNs) have demonstrated their ability to capture stru…