most citedLow Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training

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cs.LG2024

Inverse-Free Fast Natural Gradient Descent Method for Deep Learning

Xinwei Ou, Ce Zhu, Xiaolin Huang +1

Second-order optimization techniques have the potential to achieve faster convergence rates compared to first-order methods through the incorporation of second-order derivatives or…

cs.LG2023★ 1 cited

Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training

Xinwei Ou, Zhangxin Chen, Ce Zhu +1

Deep neural networks have achieved great success in many data processing applications. However, the high computational complexity and storage cost makes deep learning hard to be us…