Professors and courses

Eneko Agirre
[introductory/intermediate] Natural Language Processing in the Large Language Model Era

Pierre Baldi
[intermediate/advanced] Deep Learning in Science

Natália Cordeiro
[introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design

Daniel Cremers
[introductory/intermediate] Deep Networks for 3D Computer Vision

Stefano Giagu
[introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits

Georgios Giannakis
[intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing

Marcus Liwicki
[intermediate/advanced] Methods for Learning with Few Data

Chen Change Loy
[introductory/intermediate] Image and Video Restoration

Deepak Pathak
[intermediate/advanced] Continually Improving Agents for Generalization in the Wild

Björn Schuller
[introductory/intermediate] Deep Multimedia Processing

Amos Storkey
[intermediate] Meta-Learning and Contrastive Learning for Robust Representations

Ponnuthurai N. Suganthan
[introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures

Savannah Thais
[intermediate] Applications of Graph Neural Networks: Physical and Societal Systems

Lihi Zelnik-Manor
[introductory] Introduction to Computer Vision and the Ethical Questions It Raises