Improving the Robustness and Effectiveness of Neural Retrievers in Noisy and Low-Resource Settings
Business
Georgios Sidiropoulos will defend the dissertation 'Improving the Robustness and Effectiveness of Neural Retrievers in Noisy and Low-Resource Settings'. Supervisor is Prof. E. Kanoulas. The co-supervisor is Prof. M. de Rijke.
Event details of
Improving the Robustness and Effectiveness of Neural Retrievers in Noisy and Low-Resource Settings
- Date
- 7 January 2025
- Time
- 16:00 -17:30
- Location
- Agnietenkapel
You can find UvA dissertations and other publications in the UvA-DARE database.
You can watch this PhD defence ceremony here.
