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Learning machines seminars – previous seminars

Here you will find the previous seminars of 2023. Full archive can be found in the menu to the right.


2023-04-27: Pontus Stenetorp, University College London (UCL)
LLMs and Future of NLP

2023-04-20: Rico Sennrich, University of Zurich
Knowledge Transfer Across Languages and Modalities

2023-04-13: Elijah Cole, Caltech
Learning from real-world data


2023-03-23: Gabrielle Flood, Lund University
Motion Maps with Statistical Deformations

2023-03-16: Stefanos Georganos, Karlstad University/KTH
Filling the gaps: AI and Earth Observation

2023-03-09: Shay Cohen, University of Edinburgh
Summarization with Latent Structure, Context Factors and Quantitative Precision


2023-02-23: Alexander Ilin, Aalto University
Hierarchical Imitation Learning with Vector Quantized Models

2023-02-09: Joakim Nivre, Erik Ylipää, and Olof Mogren, RISE
ChatGPT and other large language models 

2023-02-02: Vincent Szolnoky, Chalmers
Model Gradient Similarity


2023-01-26: Lena Voita, FAIR
Interpretability in NLP

2023-01-19: Giulia Fanti, Carnegie Mellon University
Communication Complexity of Federated Learning

2023-01-12: Mark D. Plumbley, University of Surrey: AI for Sound
AI for Sound

Olof Mogren

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Olof Mogren

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