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20232026
most citedRobust Mixture-of-Expert Training for Convolutional Neural Networks

3 citations · 3 across the 8 of their papers we have counts for

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cs.CV2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

Hengyu Liu, Yuehao Wang, Chenxin Li +6

3D Gaussian splatting (3DGS) has enabled various applications in 3D scene representation and novel view synthesis due to its efficient rendering capabilities. However, 3DGS demands…

cs.CV2025

Steepest Descent Density Control for Compact 3D Gaussian Splatting

Peihao Wang, Yuehao Wang, Dilin Wang +8

3D Gaussian Splatting (3DGS) has emerged as a powerful technique for real-time, high-resolution novel view synthesis. By representing scenes as a mixture of Gaussian primitives, 3D…

cs.CV2023★ 3 cited

Robust Mixture-of-Expert Training for Convolutional Neural Networks

Yihua Zhang, Ruisi Cai, Tianlong Chen +6

Sparsely-gated Mixture of Expert (MoE), an emerging deep model architecture, has demonstrated a great promise to enable high-accuracy and ultra-efficient model inference. Despite t…