198 citations · 282 across the 14 of their papers we have counts for
5 papers · 1 filter
Delving into Muon and Beyond: Deep Analysis and Extensions
Xianbiao Qi, Marco Chen, Jiaquan Ye +2
The Muon optimizer has recently attracted considerable attention for its strong empirical performance and use of orthogonalized updates on matrix-shaped parameters, yet its underly…
SimpleGPT: Improving GPT via A Simple Normalization Strategy
Marco Chen, Xianbiao Qi, Yelin He +2
In this work, we revisit Transformer optimization through the lens of second-order geometry and establish a direct connection between architectural design, activation scale, the He…
Taming Transformer Without Using Learning Rate Warmup
Xianbiao Qi, Yelin He, Jiaquan Ye +5
Scaling Transformer to a large scale without using some technical tricks such as learning rate warump and using an obviously lower learning rate is an extremely challenging task, a…
Neural Normalized Cut: A Differential and Generalizable Approach for Spectral Clustering
Wei He, Shangzhi Zhang, Chun-Guang Li +3
Spectral clustering, as a popular tool for data clustering, requires an eigen-decomposition step on a given affinity to obtain the spectral embedding. Nevertheless, such a step suf…
Learning Graph Normalization for Graph Neural Networks
Yihao Chen, Xin Tang, Xianbiao Qi +2
Graph Neural Networks (GNNs) have attracted considerable attention and have emerged as a new promising paradigm to process graph-structured data. GNNs are usually stacked to multip…