2 papers
cs.AI2026
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training
Can Jin, Hongwu Peng, Mingcan Xiang +7
Sparse Mixture-of-Experts architectures are essential for scaling model capacity efficiently, yet the standard Top- routing imposes a rigid sparsity pattern that ignores the int…
cs.LG2025
Semi-Supervised Deep Domain Adaptation for Predicting Solar Power Across Different Locations
Md Shazid Islam, A S M Jahid Hasan, Md Saydur Rahman +1
Accurate solar generation prediction is essential for proper estimation of renewable energy resources across diverse geographic locations. However, geographical and weather feature…