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Roshan Sumbaly
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Journal Articles
- 2012
- [j1]Lili Wu, Roshan Sumbaly, Chris Riccomini, Gordon Koo, Hyung Jin Kim, Jay Kreps, Sam Shah:
Avatara: OLAP for Web-scale Analytics Products. Proc. VLDB Endow. 5(12): 1874-1877 (2012)
Conference and Workshop Papers
- 2023
- [c7]Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan:
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. ICCV 2023: 20053-20063 - 2022
- [c6]Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz:
Similarity Search for Efficient Active Learning and Search of Rare Concepts. AAAI 2022: 6402-6410 - 2014
- [c5]Pranay Anchuri, Roshan Sumbaly, Sam Shah:
Hotspot Detection in a Service-Oriented Architecture. CIKM 2014: 1749-1758 - 2013
- [c4]Myunghwan Kim, Roshan Sumbaly, Sam Shah:
Root cause detection in a service-oriented architecture. SIGMETRICS 2013: 93-104 - [c3]Roshan Sumbaly, Jay Kreps, Sam Shah:
The big data ecosystem at LinkedIn. SIGMOD Conference 2013: 1125-1134 - 2012
- [c2]Roshan Sumbaly, Jay Kreps, Lei Gao, Alex Feinberg, Chinmay Soman, Sam Shah:
Serving large-scale batch computed data with project Voldemort. FAST 2012: 18 - [c1]Aditya Auradkar, Chavdar Botev, Shirshanka Das, Dave De Maagd, Alex Feinberg, Phanindra Ganti, Lei Gao, Bhaskar Ghosh, Kishore Gopalakrishna, Brendan Harris, Joel Koshy, Kevin Krawez, Jay Kreps, Shi Lu, Sunil Nagaraj, Neha Narkhede, Sasha Pachev, Igor Perisic, Lin Qiao, Tom Quiggle, Jun Rao, Bob Schulman, Abraham Sebastian, Oliver Seeliger, Adam Silberstein, Boris Shkolnik, Chinmay Soman, Roshan Sumbaly, Kapil Surlaker, Sajid Topiwala, Cuong Tran, Balaji Varadarajan, Jemiah Westerman, Zach White, David Zhang
, Jason Zhang:
Data Infrastructure at LinkedIn. ICDE 2012: 1370-1381
Informal and Other Publications
- 2024
- [i5]Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet:
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation. CoRR abs/2405.05224 (2024) - 2023
- [i4]Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan:
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. CoRR abs/2309.08816 (2023) - [i3]Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh:
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR abs/2309.15807 (2023) - 2022
- [i2]Lorenzo Pellegrini
, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta
, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez:
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022) - 2020
- [i1]Cody Coleman, Edward Chou, Sean Culatana, Peter Bailis, Alexander C. Berg, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz:
Similarity Search for Efficient Active Learning and Search of Rare Concepts. CoRR abs/2007.00077 (2020)
Coauthor Index
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