This course is intended as a second graduate level course on deep learning. Compared with CS323, this course will go into more recent / advanced deep learning techniques. The topics covered in this course includes zero/few-shot learning and meta-learning, long-tail recognition, deep generative models, deep graph convolutional networks, efficient continual learning, causal deep-learning. All the topics here are around some aspect of deep learning efficiency.