Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient
for Convolutional Neural Networks

Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks

7 June 2023

Mohammed Nowaz Rabbani Chowdhury

Shuai Zhang

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Papers citing "Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks"

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Title
Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu Yicheng Luo Yangqiu Song Emadeldeen Eldele Min-man Wu Qianli Ma AI4TS 130 0 0 11 May 2025
Backdoor Attacks Against Patch-based Mixture of Experts Cedric Chan Jona te Lintelo S. Picek AAML MoE 439 0 0 03 May 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 491 5 0 10 Mar 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 150 0 0 24 Feb 2025
LocMoE: A Low-Overhead MoE for Large Language Model Training Jing Li Zhijie Sun Xuan He Li Zeng Yi Lin Entong Li Binfan Zheng Rongqian Zhao Xin Chen MoE 140 13 0 25 Jan 2024