4 citations · 5 across the 4 of their papers we have counts for
4 papers
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
Mingxi Lei, Chunwei Ma, Meng Ding +3
Deep learning models often struggle with generalization when deploying on real-world data, due to the common distributional shift to the training data. Test-time adaptation (TTA) i…
Multiset Transformer: Advancing Representation Learning in Persistence Diagrams
Minghua Wang, Ziyun Huang, Jinhui Xu
To improve persistence diagram representation learning, we propose Multiset Transformer. This is the first neural network that utilizes attention mechanisms specifically designed f…
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma, Ziyun Huang, Mingchen Gao +1
Few-shot learning (FSL) is the process of rapid generalization from abundant base samples to inadequate novel samples. Despite extensive research in recent years, FSL is still not…
Data Transfer Optimization Based on Offline Knowledge Discovery and Adaptive Real-time Sampling
MD S Q Zulkar Nine, Kemal Guner, Ziyun Huang +3
The amount of data moved over dedicated and non-dedicated network links increases much faster than the increase in the network capacity, but the current solutions fail to guarantee…