4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
Zhengqing Yuan, Rong Zhou, Hongyi Wang +3
Vision Transformers (ViTs) have achieved remarkable performance in various image classification tasks by leveraging the attention mechanism to process image patches as tokens. Howe…
cs.LG2024★ 1 cited
Subgraph Pooling: Tackling Negative Transfer on Graphs
Zehong Wang, Zheyuan Zhang, Chuxu Zhang +1
Transfer learning aims to enhance performance on a target task by using knowledge from related tasks. However, when the source and target tasks are not closely aligned, it can lead…
cs.LG2023★ 4 cited
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
Mingxuan Ju, Tong Zhao, Wenhao Yu +2
Recent studies have shown that graph neural networks (GNNs) exhibit strong biases towards the node degree: they usually perform satisfactorily on high-degree nodes with rich neighb…