Current issues, methods and datasets of unsupervised learning in image and text processing, including LSTMs, transformers, generative models.
- Deep understanding of current methods of unsupervised learning of image and text representations, self-supervised learning, representation learning, generative models.
- Understand, apply and evaluate current approaches.
- Understanding the technical underpinnings of unsupervised learning methods.
- Evaluate and discuss new learning problems and unsupervised and self-supervised methods.
- Dozent/in: Paramanand Chandramouli
- Dozent/in: Margret Kirsten Keuper
- Dozent/in: Tejaswini Medi