2 papers
cs.LG2025
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Anda Tang, Yiming Dong, Yutao Zeng +2
The expanding computational costs and limited resources underscore the critical need for budgeted-iteration training, which aims to achieve optimal learning within predetermined it…
cs.LG2025
Maximum Score Routing For Mixture-of-Experts
Bowen Dong, Yilong Fan, Yutao Sun +4
Routing networks in sparsely activated mixture-of-experts (MoE) dynamically allocate input tokens to top-k experts through differentiable sparse transformations, enabling scalable…