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2020 – today
- 2024
[j4]Ann Mary Justine Koomthanam
, Aalap Tripathy, Sergey Serebryakov, Gyanaranjan Nayak, Martin Foltin, Suparna Bhattacharya:
Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. 28(3): 37-44 (2024)- [c21]Ashish Mishra, Gyanaranjan Nayak, Suparna Bhattacharya, Tarun Kumar, Arpit Shah, Martin Foltin:
LLM-Guided Counterfactual Data Generation for Fairer AI. WWW (Companion Volume) 2024: 1538-1545 - [i5]Soumi Das, Shubhadip Nag, Shreyyash Sharma, Suparna Bhattacharya, Sourangshu Bhattacharya:
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. CoRR abs/2403.05174 (2024) - [i4]Cong Xu, Gayathri Saranathan, Mahammad Parwez Alam, Arpit Shah, James Lim, Soon Yee Wong, Foltin Martin, Suparna Bhattacharya:
Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling. CoRR abs/2406.15527 (2024) - 2023
- [j3]Elisa Bertino, Suparna Bhattacharya, Elena Ferrari, Dejan S. Milojicic:
Trustworthy AI and Data Lineage. IEEE Internet Comput. 27(6): 5-6 (2023) - [c20]Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin:
Dataset Efficient Training with Model Ensembling. CVPR Workshops 2023: 4700-4704 - [c19]Tarun Kumar, Arpit Shah, Ashish Mishra, Suparna Bhattacharya, Arun Mahendran, Ted Dunning, Glyn Bowden:
From Roots to Fruits: Exploring Lineage for Dataset Recommendations. DEC@SIGMOD 2023: 41-47 - [c18]Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi:
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. SC Workshops 2023: 81-87 - 2022
- [c17]Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin:
Self-learning Data Foundation for Scientific AI. SMC 2022: 20-37 - [i3]Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya:
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. CoRR abs/2203.06814 (2022) - 2021
- [c16]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. ICCV 2021: 6321-6330 - [c15]Cong Xu, Suparna Bhattacharya, Martin Foltin, Suren Byna, Paolo Faraboschi:
Data-Aware Storage Tiering for Deep Learning. PDSW@SC 2021: 23-28 - [c14]Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
Finding High-Value Training Data Subset Through Differentiable Convex Programming. ECML/PKDD (2) 2021: 666-681 - [i2]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. CoRR abs/2103.13021 (2021) - [i1]Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
Finding High-Value Training Data Subset through Differentiable Convex Programming. CoRR abs/2104.13794 (2021) - 2020
- [j2]Soumi Das, Sayan Mandal, Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna Bhattacharya, Sourangshu Bhattacharya:
Multi-criteria online frame-subset selection for autonomous vehicle videos. Pattern Recognit. Lett. 133: 349-355 (2020) - [c13]Madhumita Mallick, Niloy Ganguly, Suparna Bhattacharya:
GradeSense: Gradation Aware Storage for Robust Activity Recognition in a Multimodal Smarthome. MDM 2020: 119-124
2010 – 2019
- 2018
- [c12]Madhumita Bharde, Annmary Justine K, Suparna Bhattacharya, Dileep Deepa Shree:
Store-Edge RippleStream: Versatile Infrastructure for IoT Data Transfer. HotEdge 2018 - 2016
- [c11]Kalapriya Kannan, Suparna Bhattacharya, Kumar Raj, Muthukumar Murugan, Doug Voigt:
SEeSAW - Similarity Exploiting Storage for Accelerating Analytics Workflows. HotStorage 2016 - 2014
- [c10]Anilkumar Vishnoi, Rishabh Poddar, Vijay Mann, Suparna Bhattacharya:
Effective switch memory management in OpenFlow networks. DEBS 2014: 177-188 - 2013
- [c9]Sam S. Adams, Suparna Bhattacharya, Bob Friedlander, John Gerken, Doug Kimelman, Jim Kraemer, Harold Ossher, John T. Richards, David M. Ungar, Mark N. Wegman:
Enterprise context: a rich source of requirements for context-oriented programming. COP@ECOOP 2013: 3:1-3:7 - [c8]Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath:
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. ICML (2) 2013: 253-261 - [c7]Suparna Bhattacharya, Kanchi Gopinath, Mangala Gowri Nanda:
Combining concern input with program analysis for bloat detection. OOPSLA 2013: 745-764 - 2012
- [c6]Suparna Bhattacharya, Karthick Rajamani, Kanchi Gopinath, Manish Gupta:
Does lean imply green?: a study of the power performance implications of Java runtime bloat. SIGMETRICS 2012: 259-270 - 2011
- [j1]Suparna Bhattacharya, Kanchi Gopinath, Karthick Rajamani, Manish Gupta:
Software Bloat and Wasted Joules: Is Modularity a Hurdle to Green Software? Computer 44(9): 97-101 (2011) - [c5]Suparna Bhattacharya, Mangala Gowri Nanda, Kanchi Gopinath, Manish Gupta:
Reuse, Recycle to De-bloat Software. ECOOP 2011: 408-432 - [c4]Suparna Bhattacharya, Kanchi Gopinath:
Virtually Cool Ternary Content Addressable Memory. HotOS 2011 - [c3]Suparna Bhattacharya, Karthick Rajamani, K. Gopinath, Manish Gupta:
The interplay of software bloat, hardware energy proportionality and system bottlenecks. HotPower@SOSP 2011: 1:1-1:5
2000 – 2009
- 2007
- [c2]Mingming Cao, Suparna Bhattacharya, Ted Ts'o:
Ext4: The Next Generation of Ext2/3 Filesystem. LSF 2007 - 2002
- [c1]Suparna Bhattacharya, C. Mohan, Karen Brannon, Inderpal Narang, Hui-I Hsiao, Mahadevan Subramanian:
Coordinating backup/recovery and data consistency between database and file systems. SIGMOD Conference 2002: 500-511
Coauthor Index
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last updated on 2024-11-13 23:51 CET by the dblp team
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