46 citations · 98 across the 14 of their papers we have counts for
6 papers · 1 filter
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Xiaocong Du, Zheng Li, Yu Cao
Today a canonical approach to reduce the computation cost of Deep Neural Networks (DNNs) is to pre-define an over-parameterized model before training to guarantee the learning capa…
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…
Efficient Network Construction through Structural Plasticity
Xiaocong Du, Zheng Li, Yufei Ma +1
Deep Neural Networks (DNNs) on hardware is facing excessive computation cost due to the massive number of parameters. A typical training pipeline to mitigate over-parameterization…
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
Yu Cao, Meng Fang, Dacheng Tao
Multi-hop reasoning question answering requires deep comprehension of relationships between various documents and queries. We propose a Bi-directional Attention Entity Graph Convol…
Tensorization of the strong data processing inequality for quantum chi-square divergences
Yu Cao, Jianfeng Lu
It is well-known that any quantum channel satisfies the data processing inequality (DPI), with respect to various divergences, e.g., quantum divergences and qu…
Adaptive Probabilistic Tack Manoeuvre Decision for Sailing Vessels
Sébastien Lemaire, Yu Cao, Thomas Kluyver +5
To move upwind, sailing vessels have to cross the wind by tacking. During this manoeuvre distance made good may be lost and especially smaller vessels may struggle to complete a ta…