2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2025
DINT Transformer
Yueyang Cang, Yuhang Liu, Xiaoteng Zhang +2
DIFF Transformer addresses the issue of irrelevant context interference by introducing a differential attention mechanism that enhances the robustness of local attention. However,…
cs.LG2025
Shared DIFF Transformer
Yueyang Cang, Yuhang Liu, Xiaoteng Zhang +2
DIFF Transformer improves attention allocation by enhancing focus on relevant context while suppressing noise. It introduces a differential attention mechanism that calculates the…
cs.CV2024★ 2 cited
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision
Yueyang Cang, Yu hang liu, Li Shi
Kolmogorov-Arnold Networks(KANs), as a theoretically efficient neural network architecture, have garnered attention for their potential in capturing complex patterns. However, thei…