2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 2 cited
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction
Yi Guo, Zhaocheng Liu, Jianchao Tan +6
In industry, feature selection is a standard but necessary step to search for an optimal set of informative feature fields for efficient and effective training of deep Click-Throug…
cs.CV2021
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo, Huan Yuan, Jianchao Tan +3
Model compression techniques are recently gaining explosive attention for obtaining efficient AI models for various real-time applications. Channel pruning is one important compres…
cs.CV2020
Depth Edge Guided CNNs for Sparse Depth Upsampling
Yi Guo, Ji Liu
Guided sparse depth upsampling aims to upsample an irregularly sampled sparse depth map when an aligned high-resolution color image is given as guidance. Many neural networks have…