Enhance the Visual Representation via Discrete Adversarial Training.
Xiaofeng MaoYuefeng ChenRanjie DuanYao ZhuGege QiShaokai YeXiaodan LiRong ZhangHui XuePublished in: NeurIPS (2022)
Keyphrases
- visual representation
- scientific visualization
- visual representations
- user interface
- multi agent
- training set
- graphical user interfaces
- discrete version
- discrete geometry
- instructional designers
- training phase
- training algorithm
- training examples
- training process
- online learning
- supervised learning
- expert systems
- neural network