Detecting and understanding real-world differential performance bugs in machine learning libraries.
Saeid Tizpaz-NiariPavol CernýAshutosh TrivediPublished in: ISSTA (2020)
Keyphrases
- machine learning
- real world
- pattern recognition
- bug localization
- data mining
- machine learning methods
- inductive learning
- artificial intelligence
- synthetic data
- knowledge acquisition
- wide range
- data sets
- text classification
- active learning
- digital libraries
- source code
- decision trees
- software systems
- knowledge representation
- deeper understanding
- open source
- reinforcement learning
- model selection
- case study
- real time
- machine learning and data mining
- computational biology
- computer vision
- automatic detection
- transfer learning
- machine learning algorithms
- semi supervised learning
- high level
- computational intelligence
- natural language processing
- supervised learning
- support vector machine