most citedEnhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons

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cs.LG2025

Bandwidth-Efficient Adaptive Mixture-of-Experts via Low-Rank Compensation

Zhenyu Liu, Yunzhen Liu, Zehao Fan +5

Mixture-of-Experts (MoE) models scale capacity via sparse activation but stress memory and bandwidth. Offloading alleviates GPU memory by fetching experts on demand, yet token-leve…

cs.LG2024★ 1 cited

Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons

Zhenyu Liu, Garrett Gagnon, Swagath Venkataramani +1

Deep Neural Networks (DNNs) have revolutionized a wide range of industries, from healthcare and finance to automotive, by offering unparalleled capabilities in data analysis and de…