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20232025
most citedEfficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

2 citations · 3 across the 6 of their papers we have counts for

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cs.LG2025

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning +3

Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoi…

cs.LG2025

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models

Junyi Zhu, Ruicong Yao, Taha Ceritli +6

Current network training paradigms primarily focus on either centralized or decentralized data regimes. However, in practice, data availability often exhibits a hybrid nature, wher…