DDLS course Transfer Learning for Life Science

Preliminary timetable

Day	Where	Activities
September 2	Online	9.30-12.00 Lecture: Overview of architectures for transfer learning: feed-forward networks, convolutional networks, adversarial networks, autoencoders, transformers, contrastive deep learning
September 14	John von Neumann	9.30-12.00 Lecture: Introduction to transfer learning and challenges in life science applications. Taxonomy of transfer learning. 13.30-16.00 Practical session: Software for transfer learning
September 15	John von Neumann	9.30-12.00 Lecture: Inductive transfer learning. 13.30-16.00 Practical session: Inductive transfer learning.
September 16	John von Neumann	9.30-12.00 Lecture: Transductive transfer learning. 13.30-16.00 Practical session: Transductive transfer learning
September 17	John von Neumann	9.30-12.00 Lecture: Unsupervised transfer learning. 13.30-16.00 Practical session: Unsupervised transfer learning.
September 18	John von Neumann	9.30-12.00 Lecture: Zero-shot and few-shot transfer learning. Negative transfer. 13.30-16.00 Practical session: Zero-shot and few-shot transfer learning. Negative transfer.
October 21		DEADLINE for project submission on October 21, 23:59
November 2	Online	Project presentations and opposition, Group 1
November 3	Online	Project presentations and opposition, Group 2

Zoom link for online sessions is available for course participants here

Page responsible: Oleg Sysoev
Last updated: 2026-04-01