Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning.
Minghui LiuMeiyi YangJiali DengXuan ChengTianshu XiePan DengHaigang GongMing LiuXiaomin WangPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- minimum error rate
- unsupervised learning
- learning algorithm
- learning stage
- feedforward neural networks
- training process
- prior knowledge
- learning process
- high accuracy
- preprocessing
- cost function
- object recognition
- training phase
- support vector machine svm
- clustering method
- training algorithm
- feature representation
- machine learning
- objective function
- vector representation
- stochastic gradient descent
- learning speed
- structured prediction
- learning scheme
- training set
- feature set
- supervised learning
- support vector machine
- classification accuracy
- probabilistic model
- dynamic programming
- artificial neural networks