most citedCGaP: Continuous Growth and Pruning for Efficient Deep Learning

11 citations · 17 across the 3 of their papers we have counts for

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cs.LG2019★ 5 cited

Structural Pruning in Deep Neural Networks: A Small-World Approach

Gokul Krishnan, Xiaocong Du, Yu Cao

Deep Neural Networks (DNNs) are usually over-parameterized, causing excessive memory and interconnection cost on the hardware platform. Existing pruning approaches remove secondary…

cs.LG2019

Single-Net Continual Learning with Progressive Segmented Training (PST)

Xiaocong Du, Gouranga Charan, Frank Liu +1

There is an increasing need of continual learning in dynamic systems, such as the self-driving vehicle, the surveillance drone, and the robotic system. Such a system requires learn…