MMOS: Multi-Staged Mutation Operator Scheduling for Deep Learning Library Testing.
Junqiang LiSenyi LiJiawei WuLong LuoYang BaiHongfang YuPublished in: GLOBECOM (2022)
Keyphrases
- deep learning
- mutation operator
- evolutionary algorithm
- differential evolution
- genetic algorithm
- crossover operator
- unsupervised learning
- unsupervised feature learning
- convergence rate
- machine learning
- fitness function
- mental models
- weakly supervised
- nsga ii
- multi objective
- convergence speed
- step size
- genetic programming
- optimization algorithm
- scheduling problem
- optimization problems
- combinatorial optimization
- natural images
- learning algorithm