Společný seminář katedry teoretické informatiky a matematické logiky MFF UK a oddělění umělé inteligence ústavu informatiky AV ČR
Organized jointly by the Department of Theoretical Computer Science and Mathematical Logic, Faculty of Mathemeatics and Physics of the Charles University, and by the Department of Artificial Intelligence, Institute of Computer Science of the Czech Academy of Sciences
Kontakt: / Contact:
Martin Holeňa
www.cs.cas.cz/~martin
+420 266 052 921
martin@cs.cas.cz
skype martinholena
Jonas Hübotter. Transductive Active Learning for Fine-Tuning Large (Language) Models
Jonas will in the context of LLMs investigate the transductive learning paradigm, where the model is trained specifically for the given task, and will show that this paradigm can improve state-of-the-art LLMs.
Přehled seminářů v roce 2024 / List of seminars in 2024
19. 12. |
Peter Blohm |
Probably Approximately Global Robustness Certification | |
5. 12. |
Vlad Yorsh |
Structured state-space neural-network models | |
21. 11. |
Jonas Hübotter |
Transductive Active Learning for Fine-Tuning Large (Language) Models | |
7. 11. |
Krzysztof Kacprzyk |
AI4Science: Discovering Governing Equations and Beyond |
|
10. 10. |
Ondřej Tichý |
Bayesian regression and its application to atmospheric emissions estimation |
|
23. 5. |
Pierre Nicolay |
Kinematic-aware Neural Network for Dynamics Modeling |
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25. 4. |
Balint Gyevnar |
How do we make explainable AI work for people? |
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11. 4. |
Alex Goodall |
Theory and Applications of Approximate Model-based Shielding for Safe Reinforcement Learning |
|
28. 3. |
Simon Rittel |
Bayesian causal structure learning |
|
14. 3. |
Oliver Sutton |
Can adversarial robustness be certified for classifiers learning high dimensional data? |
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29. 2. |
Michal Znalezniak |
Contrastive hierarchical clustering |
|
1. 2. |
Tomáš Pevný |
Tractable probabilistic models for hierarchical data |
Přehled seminářů v roce 2023 / List of seminars in 2023
7. 12. |
Klára Janoušková |
Test-time adaptation |
|
23. 11. |
Patric Feldmeier |
Neatest - neuroevolution-based generation of adaptive tests |
|
9. 11. |
Felix Gemeinhardt |
Quantum computing - from fundamentals to first quantum algorithms |
|
26. 10. |
Milan Straka |
Optimization of deep neural networks |
|
12. 10. |
Anton Bushuiev |
Designing protein-protein interactions with self-supervised geometric deep learning |
|
11. 5. |
Rudolf Rosa |
Generating texts with transformer-based large language models |
|
27. 4. |
Pavel Hrabák |
Agents heterogeneity in microscopic models of pedestrian flow |
|
13. 4. |
Pierre Onghena |
Comparing user perception of explanations developed with XAI methods |
|
30. 3. |
Thomas Seidelmann |
Advanced multi-objective facility layout planning for modern manufacturing environments |
|
16. 3. |
Ondřej Podsztavek |
Active domain adaptation and astronomy |
|
2. 3. |
Adéla Šubrtová |
Semantic editation of images |
|
16. 2. |
Dario Simionato |
Exploiting causality methods for knowledge discovery from observational data |
|
5. 1. |
Tomáš Kerepecký |
An introduction to neural fields in computer vision and image processing |
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