Calibrated Stochastic Gradient Descent for Convolutional Neural Networks.
Li'an ZhuoBaochang ZhangChen ChenQixiang YeJianzhuang LiuDavid S. DoermannPublished in: AAAI (2019)
Keyphrases
- stochastic gradient descent
- convolutional neural networks
- least squares
- loss function
- matrix factorization
- step size
- random forests
- weight vector
- regularization parameter
- online algorithms
- support vector machine
- multiple kernel learning
- importance sampling
- markov random field
- image restoration
- cost function
- closed form
- training data
- optical flow
- multiresolution