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Shubham Agarwal 0007
Person information
- affiliation: Adobe Research, Bangalore, India
Other persons with the same name
- Shubham Agarwal — disambiguation page
- Shubham Agarwal 0001 — Heriot Watt University, Edinburgh Centre of Robotics, UK
- Shubham Agarwal 0002 — IBM Research, Cambridge, MA, USA
- Shubham Agarwal 0003 — IIIT Hyderabad, Hyderabad, India
- Shubham Agarwal 0004 — Jaypee Institute of Information Technology, Noida, India
- Shubham Agarwal 0005 — PulseLabs AI, Salt Lake City, Utah, USA
- Shubham Agarwal 0006 — CISPA Helmholtz Center for Information Security, Saarbrücken, Saarland, Germany
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2020 – today
- 2024
- [c6]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. NSDI 2024 - [c5]Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila:
ScaleViz: Scaling Visualization Recommendation Models on Large Data. PAKDD (5) 2024: 93-104 - [i6]Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024) - [i5]Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt:
KaPQA: Knowledge-Augmented Product Question-Answering. CoRR abs/2407.16073 (2024) - 2023
- [c4]Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini:
ESRO: Experience Assisted Service Reliability against Outages. ASE 2023: 255-267 - [c3]Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra:
Fast Natural Language Based Data Exploration with Samples. SIGMOD Conference Companion 2023: 155-158 - [c2]Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini:
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer. ESEC/SIGSOFT FSE 2023: 682-694 - [c1]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. WWW 2023: 2905-2915 - [i4]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. CoRR abs/2303.00554 (2023) - [i3]Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini:
ESRO: Experience Assisted Service Reliability against Outages. CoRR abs/2309.07230 (2023) - [i2]Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini:
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer. CoRR abs/2309.17340 (2023) - [i1]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Diffusion Models. CoRR abs/2312.04429 (2023)
Coauthor Index
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