This semester, the focus of the seminar is on Databases for AI and AI for Databases. To attend this seminar, students need to register according to the registration procedure explained below. After the end of the registration process, participants are selected and informed. Each selected student will get assigned one research paper that needs to be presented in a talk at the end of the semester. Finally, also a short report about the presented paper needs to be submitted, the latest two weeks after the presentation.
Look further than only titel and abstract before deciding for a paper, since some papers might demand math or deeper ML skills you might find difficult. You have to be in the University’s VPN (full tunnel) for accessing some of the papers.
|1||Towards Optimizing Storage Costs on the Cloud||https://ieeexplore.ieee.org/document/10184773|
|2||Analyzing and Mitigating Data Stalls in DNN Training||https://www.vldb.org/pvldb/vol14/p771-mohan.pdf|
|3||DeepDB: Learn from Data, not from Queries!||https://www.vldb.org/pvldb/vol13/p992-hilprecht.pdf|
|4||NeuroCard: One Cardinality Estimator for All Tables||https://vldb.org/pvldb/vol14/p61-yang.pdf|
|5||The Case for Learned In-Memory Joins||https://www.vldb.org/pvldb/vol16/p1749-sabek.pdf|
|6||Automatic Database Management System Tuning Through Large-scale Machine Learning||https://doi.org/10.1145/3035918.3064029|
|7||Cross Modal Data Discovery over Structured and Unstructured Data Lakes||https://dl.acm.org/doi/pdf/10.14778/3611479.3611533|
|8||DB-BERT: A Database Tuning Tool that “Reads the Manual”||https://dl.acm.org/doi/10.1145/3514221.3517843|
|9||Can Learned Models Replace Hash Functions?||https://www.vldb.org/pvldb/vol16/p532-sabek.pdf|
|10||The case for learned index structures||https://dl.acm.org/doi/10.1145/3183713.3196909|