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cs.LG2026
MoRE: Scaling mixture of experts with hardware-aware low-rank routing
Honam Wong, Surbhi Goel, Enric Boix-Adserà
Mixture-of-Experts (MoE) layers are central to frontier language models, and recent architectures push toward more and smaller experts. In this regime, the standard linear router b…
cs.LG2023★ 2 cited
Spurious Feature Diversification Improves Out-of-distribution Generalization
Yong Lin, Lu Tan, Yifan Hao +5
Generalization to out-of-distribution (OOD) data is a critical challenge in machine learning. Ensemble-based methods, like weight space ensembles that interpolate model parameters,…