Dalitso Banda

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2023 A* conf
Schema Matching using Pre-Trained Language Models.
ICDE
Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel
2022 — conf
End-to-end Optimization of Machine Learning Prediction Queries.
SIGMOD Conference
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 J jnl
End-to-end Optimization of Machine Learning Prediction Queries.
CoRR
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 J jnl
Query Processing on Tensor Computation Runtimes.
CoRR
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 J jnl
Query Processing on Tensor Computation Runtimes.
Proc. VLDB Endow.
Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 J jnl
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
CoRR
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
2022 J jnl
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
Proc. VLDB Endow.
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
2021 J jnl
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents.
CoRR
Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan
2020 J jnl
Deep video-to-video transformations for accessibility with an application to photosensitivity.
Pattern Recognit. Lett.
Andrei Barbu, Dalitso Banda, Boris Katz
2020 — conf
Large-Scale Intelligent Microservices.
IEEE BigData
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
2020 J jnl
Large-Scale Intelligent Microservices.
CoRR
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
CoRR
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
Proc. VLDB Endow.
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu