Subrata Mitra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
24
Active years
1992–2026
Best venue rank
A*
Where they publish
- AMiddleware4 papers
- AUSENIX4 papers
- A*ACL3 papers
- A*SIGMOD3 papers
- A*AAAI3 papers
- BSRDS2 papers
- NationalRANLP1 paper
- A*ECCV1 paper
- ANAACL1 paper
- NationalNSDI1 paper
- BPAKDD1 paper
- AICDCS1 paper
- A*ICML1 paper
- AESA1 paper
- AWSDM1 paper
- UnrankedUCC1 paper
- UnrankedSENSYS1 paper
- ACGO1 paper
- AEuroSys1 paper
- AISSRE1 paper
- BWCNC1 paper
- A*PLDI1 paper
- AECOOP1 paper
- ACADE1 paper
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | SIGMOD | SynthAI@SIGMOD 2026: Workshop on Synthetic Data Generation and Management for Building AI Systems. | Ramasuri Narayanam, Prasad Deshpande, Srikanta Bedathur, Eugene Wu, Soumyabrata Pal, Subrata Mitra, Eunyee Koh, Barna Saha |
| 2025 | Middleware | Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System. | Shubham Agarwal, Subrata Mitra, Saud Iqbal |
| 2025 | RANLP | A Framework for Fine-Tuning LLMs Using Heterogeneous Feedback. | Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka |
| 2024 | ECCV | RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. | Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | NSDI | Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. | Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini |
| 2024 | PAKDD | ScaleViz: Scaling Visualization Recommendation Models on Large Data. | Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila |
| 2023 | AAAI | Reinforced Approximate Exploratory Data Analysis. | Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar |
| 2023 | ACL | Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. | Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao |
| 2023 | ICDCS | Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. | Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das |
| 2023 | ICML | Flash: Concept Drift Adaptation in Federated Learning. | Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan |
| 2023 | SIGMOD | Fast Natural Language Based Data Exploration with Samples. | Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra |
| 2022 | AAAI | Conditional Generative Model Based Predicate-Aware Query Approximation. | Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri |
| 2022 | ACL | Few-Shot Class-Incremental Learning for Named Entity Recognition. | Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao |
| 2022 | ESA | Correlated Stochastic Knapsack with a Submodular Objective. | Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik |
| 2022 | SIGMOD | Efficient Insights Discovery through Conditional Generative Model based Query Approximation. | Vibhor Porwal, Subrata Mitra, Fan Du, John Anderson, Nikhil Sheoran, Anup B. Rao, Tung Mai, Gautam Kowshik, Sapthotharan Nair, Sameeksha Arora, Saurabh Mahapatra |
| 2021 | AAAI | Scheduling of Time-Varying Workloads Using Reinforcement Learning. | Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra |
| 2021 | WSDM | Data-Sharing Economy: Value-Addition from Data meets Privacy. | Piyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna |
| 2021 | USENIX | SONIC: Application-aware Data Passing for Chained Serverless Applications. | Ashraf Mahgoub, Karthick Shankar, Subrata Mitra, Ana Klimovic, Somali Chaterji, Saurabh Bagchi |
| 2021 | UCC | Scheduling ML training on unreliable spot instances. | Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik |
| 2020 | SENSYS | ApproxDet: content and contention-aware approximate object detection for mobiles. | Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi |
| 2020 | USENIX | OPTIMUSCLOUD: Heterogeneous Configuration Optimization for Distributed Databases in the Cloud. | Ashraf Mahgoub, Alexander Medoff, Rakesh Kumar, Subrata Mitra, Ana Klimovic, Somali Chaterji, Saurabh Bagchi |
| 2019 | USENIX | SOPHIA: Online Reconfiguration of Clustered NoSQL Databases for Time-Varying Workloads. | Ashraf Mahgoub, Paul Wood, Alexander Medoff, Subrata Mitra, Folker Meyer, Somali Chaterji, Saurabh Bagchi |
| 2018 | Middleware | Pythia: Improving Datacenter Utilization via Precise Contention Prediction for Multiple Co-located Workloads. | Ran Xu, Subrata Mitra, Jason Rahman, Peter Bai, Bowen Zhou, Greg Bronevetsky, Saurabh Bagchi |
| 2018 | USENIX | VideoChef: Efficient Approximation for Streaming Video Processing Pipelines. | Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Sasa Misailovic, Saurabh Bagchi |
| 2017 | CGO | Phase-aware optimization in approximate computing. | Subrata Mitra, Manish K. Gupta, Sasa Misailovic, Saurabh Bagchi |
| 2017 | Middleware | Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads. | Ashraf Mahgoub, Paul Wood, Sachandhan Ganesh, Subrata Mitra, Wolfgang Gerlach, Travis Harrison, Folker Meyer, Ananth Grama, Saurabh Bagchi, Somali Chaterji |
| 2016 | EuroSys | Partial-parallel-repair (PPR): a distributed technique for repairing erasure coded storage. | Subrata Mitra, Rajesh Krishna Panta, Moo-Ryong Ra, Saurabh Bagchi |
| 2016 | ISSRE | A Study of Failures in Community Clusters: The Case of Conte. | Subrata Mitra, Suhas Javagal, Amiya Kumar Maji, Todd Gamblin, Adam Moody, Stephen Lien Harrell, Saurabh Bagchi |
| 2016 | SRDS | Sirius: Neural Network Based Probabilistic Assertions for Detecting Silent Data Corruption in Parallel Programs. | Tara E. Thomas, Anmol J. Bhattad, Subrata Mitra, Saurabh Bagchi |
| 2015 | WCNC | VIDalizer: An energy efficient video streamer. | Arnab Raha, Subrata Mitra, Vijay Raghunathan, Sanjay G. Rao |
| 2014 | Middleware | Mitigating interference in cloud services by middleware reconfiguration. | Amiya Kumar Maji, Subrata Mitra, Bowen Zhou, Saurabh Bagchi, Akshat Verma |
| 2014 | PLDI | Accurate application progress analysis for large-scale parallel debugging. | Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin |
| 2013 | SRDS | Automatic Problem Localization via Multi-dimensional Metric Profiling. | Ignacio Laguna, Subrata Mitra, Fahad A. Arshad, Nawanol Theera-Ampornpunt, Zongyang Zhu, Saurabh Bagchi, Samuel P. Midkiff, Michael Kistler, Ahmed Gheith |
| 1993 | ECOOP | ObjChart: Tangible Specification of Reactive Object Behavior. | Dipayan Gangopadhyay, Subrata Mitra |
| 1992 | CADE | Decidable Matching for Convergent Systems (Preliminary Version). | Nachum Dershowitz, Subrata Mitra, G. Sivakumar |