In a broad sense, my research direction is to develop novel learning algorithms which overcome remaining challenges of deep-learning techniques.
- The current deep learning algorithms are
i) dependent on a massive amount of training data,
ii) hard to generalize to unseen tasks and iii) difficult to learn a new concept on the learned knowledge.
- To tackle these problems, I`m interested in following topics:
- few-shot learning, meta-learning, lifelong learning (continual and incremental learning)
- meta-reinforcement Learning and causal learning.