Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo YangShixiang ChenXiangtai LiLiang XieZhouchen LinDacheng TaoPublished in: NeurIPS (2022)
Keyphrases
- neural network
- learning algorithm
- learning process
- learning rules
- network architecture
- neural computation
- training process
- learning phase
- neural learning
- learning tasks
- recurrent networks
- exact learning
- neural model
- decision trees
- neural nets
- hypothesis space
- feature selection
- inductive inference
- decision lists
- fuzzy artmap
- support vector machine
- neural classifier