An Empirical Study of Challenges in Converting Deep Learning Models.
Moses OpenjaAmin NikanjamAhmed Haj YahmedFoutse KhomhZhen Ming JiangPublished in: CoRR (2022)
Keyphrases
- learning models
- learning tasks
- machine learning
- loss function
- machine learning algorithms
- learning algorithm
- semi supervised learning
- learning problems
- learning paradigms
- classification models
- conditional random fields
- machine learning models
- real world
- data mining
- data sets
- text mining
- supervised learning
- active learning
- training data
- sparse metric learning