Low-Resource Deep Learning
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 include zero/few-shot learning and meta-learning, long-tail recognition, deep generative models, deep graph convolutional networks, efficient continual learning, and causal deep learning. All the topics here are around some aspects of deep learning efficiency.
Deep Generative Modeling
This course focuses on generative modeling. The topics covered in this course include Deep Generative Models (VAEs, GANs), Normalizing Flows, infinitesimal flows (Neural ODEs/SDEs, Deep Equilibrium Mo…