On Efficient Training of Large-Scale Deep Learning Models: A Literature Review.
Li ShenYan SunZhiyuan YuLiang DingXinmei TianDacheng TaoPublished in: CoRR (2023)
Keyphrases
- literature review
- learning models
- loss function
- case study
- current issues
- learning tasks
- machine learning
- learning problems
- machine learning algorithms
- training examples
- neural network
- conditional random fields
- object recognition
- classification models
- learning algorithm
- hidden markov models
- support vector
- decision trees
- sparse metric learning