Deep Representation Learning

Research Group.

Our main research goal is to develop a better understanding on how deep learning works, especially from the view point of representation learning. Our research scope covers a variety of topics in deep learning including unsupervised learning, information-theoretic approaches, representation learning, representations of transformers, interpretation of representations, meta-learning, NAS, structured compression of DNN, etc.