ADA Lab @ UCSD
Active Projects
We have three active research projects across different parts of the ML application lifecycle:
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Project Cerebro
A layered data platform for deep learning at scale on all axes–data, model, tasks–and on
all kinds of execution backends.
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Project SortingHat
Benchmark tasks, labeled datasets, models, and empirical evaluation of tools for automated
data preparation on ML platforms.
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Project SpeakQL
Speech-first querying interfaces, languages, and tools for relational databases powered
by deep learning-based automatic speech recognition.
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Other Collaborative Work
Understanding and Benchmarking the Impact of GDPR on Database Systems
Supreeth Shastri, Vinay Banakar, Melissa Wasserman, Arun Kumar, and Vijay Chidambaram
VLDB 2020 | Paper PDF | TechReport | Webpage
| Talk videos: Youtube Bilibili
Hierarchical and Distributed Machine Learning Inference Beyond the Edge
Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar and Tajana Rosing
IEEE ICNSC 2019 | Paper PDF
Predicting Eating Events in Free Living Individuals
Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar and Marta M. Jankowska
eScience 2019 Conference (Poster)
In-RDBMS Hardware Acceleration of Advanced Analytics
Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, and Hadi Esmaeilzadeh
VLDB 2018 | Paper PDF |
Addendum
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