Deep Learning With Noise
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Darryl Dexu Lin
- Sachin S. Talathi
- V. Sreekanth Annapureddy
- Ngai-Man Cheung
- Yiren Zhou
- Sibo Song
- Samuel F. Dodge
- Georgios Georgiadis
Citations in the corpus
- Fixed Point Quantization of Deep Convolutional Networks (2015, background): “This may be attributed to the regularization effect of the added quantization noise (Lin et al., 2015; Luo & Yang, 2014).”
- On classification of distorted images with deep convolutional neural networks (2017, background): “, without distortion), some previous work has attempted to introduce noise to the training data [13, 14].”