21 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers
Ziyang Zong, Jun He, Lei Zhang +1
In theory, the success of unsupervised domain adaptation (UDA) largely relies on domain gap estimation. However, for source free UDA, the source domain data can not be accessed dur…
cs.NE2022★ 4 cited
Distributed Evolution Strategies Using TPUs for Meta-Learning
Alex Sheng, Derek He
Meta-learning traditionally relies on backpropagation through entire tasks to iteratively improve a model's learning dynamics. However, this approach is computationally intractable…
cs.LG2021★ 21 cited
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu, Yangrui Chen, Dan Li +7
Graph neural networks (GNNs) have extended the success of deep neural networks (DNNs) to non-Euclidean graph data, achieving ground-breaking performance on various tasks such as no…