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cs.LG2024
Retraining-Free Merging of Sparse MoE via Hierarchical Clustering
I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun +3
Sparse Mixture-of-Experts (SMoE) models represent a significant advancement in large language model (LLM) development through their efficient parameter utilization. These models ac…
cs.LG2022★ 1 cited
Investigation of Factorized Optical Flows as Mid-Level Representations
Hsuan-Kung Yang, Tsu-Ching Hsiao, Ting-Hsuan Liao +7
In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learnin…