| Vst.-Nr. |
Veranstaltung |
Vst.-Art |
Aktion |
|
141331
|
What do pre-trained language models really understand?
-
Schuster
|
Seminar
|
belegen/abmelden
|
|
141333
|
Machine Learning for Language and Vision
-
Hong
,
Feng
|
Seminar
|
belegen/abmelden
|
|
141347
|
Machine Learning for Natural Language Processing and beyond
-
Klakow
|
Blockseminar
|
belegen/abmelden
|
|
143206
|
Hybrid Learning and Reasoning
-
Klusch
,
Nonnengart
,
Meyer-Vitali
|
Seminar
|
|
|
143576
|
Machine Learning Security
-
Schönherr
|
Seminar
|
|
|
143585
|
Do we really need overparameterization in deep learning?
-
Burkholz
|
Seminar
|
|
|
143586
|
Topics in Adversarial Machine Learning
-
Zhang
|
Seminar
|
|
|
143587
|
Formal Methods for AI Safety
-
Dimitrova
|
Seminar
|
|
|
143588
|
Data-driven Understanding of the Disinformation Epidemic (DUDE)
-
Zhang
|
Seminar
|
|
|
143721
|
AI for Programming Education
-
Singla
|
Seminar
|
|
|
143722
|
Computer Vision and Machine Learning for Computer Graphics
-
Theobalt
|
Seminar
|
|
|
143889
|
Seminar on Blockchains and Decentralized Finance (DeFi)
-
Gummadi
|
Seminar
|
|
|
143908
|
Photorealistic 3D Reconstruction with Deep Learning
-
Ilg
|
Seminar
|
|
|
143913
|
Accountable AI Through the Lens of Causality
-
Radanovic
|
Seminar
|
|
|
143914
|
Through the eyes of the user: eye tracking for intelligent interfaces
-
Feit
|
Seminar
|
|
|
144025
|
AI for the Social Good
-
Wolf
,
Baum
,
Großmann
|
Seminar
|
|
|
144030
|
Query Optimization: Past to Present (Block seminar)
-
Dittrich
,
Haffner
|
Blockseminar
|
|
|
144041
|
Seminar: Probabilistic Diffusion: Theory and Applications
-
Schrader
,
Schaefer
,
Weickert
|
Seminar
|
|
|
144043
|
SupRTwin: Sensing, Unterstanding, and Provisioning of Real-Time Digital Twins
-
Schwartz
|
Seminar
|
|
|
144048
|
Data-Driven Drug Design - Methods and Applications
-
Volkamer
|
Seminar
|
|
|
144049
|
Opportunities and Risks of Large Language Models and Foundation Models
-
Fritz
|
Seminar
|
|
kurz
