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
[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

Tae-Kyun Kim
[intermediate/advanced] Deep 3D Pose Estimation

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

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

Ivan Oseledets
[introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning

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

Kaushik Roy
[introductory/advanced] Neuromorphic Computing

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

Jiliang Tang
[introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications

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

Li Xiong
[introductory] Deep Learning and Privacy Enhancing Technology

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