Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement.
Heitor R. GuimarãesArthur PimentelAnderson R. AvilaMehdi RezagholizadehTiago H. FalkPublished in: CoRR (2022)
Keyphrases
- multi task
- learning tasks
- data sets
- multi task learning
- data analysis
- missing data
- prior knowledge
- learning algorithm
- learning models
- multiple tasks
- active learning
- reinforcement learning
- training data
- learning process
- bayesian networks
- feature selection
- learning problems
- multitask learning
- sparse learning
- machine learning algorithms
- image classification
- dimensionality reduction
- supervised learning
- knowledge discovery
- image processing