1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices
Jun-Liang Lin, Sheng-De Wang
The inference of Neural Networks is usually restricted by the resources (e.g., computing power, memory, bandwidth) on edge devices. In addition to improving the hardware design and…
cs.CV2017★ 1 cited
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu +3
While representation learning aims to derive interpretable features for describing visual data, representation disentanglement further results in such features so that particular i…