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2020 – today
- 2024
[c27]Sanjay Agrawal, Srujana Merugu, Vivek Sembium:
Boosting Entity Recognition by leveraging Cross-task Domain Models for Weak Supervision. CIKM 2024: 4324-4331- [c26]Gaurav Arora, Shreya Jain, Srujana Merugu:
Intent Detection in the Age of LLMs. EMNLP (Industry Track) 2024: 1559-1570 - [c25]Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi:
Leveraging Uncertainty Estimates To Improve Classifier Performance. ICLR 2024 - [c24]Akshay Jagatap
, Srujana Merugu, Prakash Mandayam Comar:
Improving Search for New Product Categories via Synthetic Query Generation Strategies. WWW (Companion Volume) 2024: 29-37 - [i4]Gaurav Arora, Shreya Jain, Srujana Merugu:
Intent Detection in the Age of LLMs. CoRR abs/2410.01627 (2024) - 2023
- [c23]Megha Sharma, Tushar Vatsal, Srujana Merugu, Aruna Rajan:
Automated Digitization of Unstructured Medical Prescriptions. ACL (industry) 2023: 794-805 - [c22]Gaurav Arora, Srujana Merugu, Vivek Sembium:
CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics. ACL (Findings) 2023: 7985-8002 - [c21]Sanjay Agrawal, Srujana Merugu, Vivek Sembium:
Enhancing E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation. CIKM 2023: 4488-4494 - [c20]Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R. Kaveri:
Conformal Prediction Sets for Ordinal Classification. NeurIPS 2023 - [i3]Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi:
Leveraging Uncertainty Estimates To Improve Classifier Performance. CoRR abs/2311.11723 (2023) - 2022
- [c19]Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer:
Walking with PACE - Personalized and Automated Coaching Engine. UMAP 2022: 57-68 - 2021
- [c18]Nayana Bannur, Harsh Maheshwari, Sansiddh Jain, Shreyas Shetty, Srujana Merugu, Alpan Raval:
Adaptive COVID-19 Forecasting via Bayesian Optimization. COMAD/CODS 2021: 432 - [i2]Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu:
Interpretability of Epidemiological Models : The Curse of Non-Identifiability. CoRR abs/2104.14821 (2021) - 2020
- [i1]Arpita Biswas, Shruthi Bannur, Prateek Jain, Srujana Merugu:
COVID-19: Strategies for Allocation of Test Kits. CoRR abs/2004.01740 (2020)
2010 – 2019
- 2017
- [c17]Vivek Sembium, Rajeev Rastogi, Atul Saroop, Srujana Merugu:
Recommending Product Sizes to Customers. RecSys 2017: 243-250 - 2013
- [c16]Adway Mitra, Srujana Merugu:
Reconciliation of categorical opinions from multiple sources. CIKM 2013: 1561-1564 - 2011
- [c15]Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu:
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. SDM 2011: 498-509 - [c14]Ashwin Machanavajjhala, Arun Shankar Iyer, Philip Bohannon, Srujana Merugu:
Collective extraction from heterogeneous web lists. WSDM 2011: 445-454 - [c13]Himabindu Lakkaraju, Angshu Rai, Srujana Merugu:
Smart news feeds for social networks using scalable joint latent factor models. WWW (Companion Volume) 2011: 73-74 - 2010
- [c12]Kunal Punera, Srujana Merugu:
The anatomy of a click: modeling user behavior on web information systems. CIKM 2010: 989-998
2000 – 2009
- 2009
- [c11]Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, S. Sathiya Keerthi, Srujana Merugu:
A web of concepts. PODS 2009: 1-12 - 2008
- [j4]Philip Bohannon, Srujana Merugu, Cong Yu, Vipul Agarwal, Pedro DeRose, Arun Shankar Iyer, Ankur Jain, Vinay Kakade, Mridul Muralidharan, Raghu Ramakrishnan, Warren Shen:
Purple SOX extraction management system. SIGMOD Rec. 37(4): 21-27 (2008) - [c10]Kristina Lerman, David Gutelius, Bernardo A. Huberman, Srujana Merugu:
Organizing Committee. AAAI Spring Symposium: Social Information Processing 2008: 1- - 2007
- [j3]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. 8: 1919-1986 (2007) - [c9]Deepak Agarwal, Srujana Merugu:
Predictive discrete latent factor models for large scale dyadic data. KDD 2007: 26-35 - [c8]Arindam Banerjee, Sugato Basu, Srujana Merugu:
Multi-way Clustering on Relation Graphs. SDM 2007: 145-156 - 2006
- [c7]Srujana Merugu, Saharon Rosset, Claudia Perlich:
A new multi-view regression approach with an application to customer wallet estimation. KDD 2006: 656-661 - 2005
- [j2]Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh:
Clustering with Bregman Divergences. J. Mach. Learn. Res. 6: 1705-1749 (2005) - [j1]Srujana Merugu, Joydeep Ghosh:
A privacy-sensitive approach to distributed clustering. Pattern Recognit. Lett. 26(4): 399-410 (2005) - [c6]Thomas George, Srujana Merugu:
A Scalable Collaborative Filtering Framework Based on Co-Clustering. ICDM 2005: 625-628 - [c5]Srujana Merugu, Joydeep Ghosh:
A distributed learning framework for heterogeneous data sources. KDD 2005: 208-217 - 2004
- [c4]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu:
An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML 2004 - [c3]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD 2004: 509-514 - [c2]Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh:
Clustering with Bregman Divergences. SDM 2004: 234-245 - 2003
- [c1]Srujana Merugu, Joydeep Ghosh:
Privacy-preserving Distributed Clustering using Generative Models. ICDM 2003: 211-218
Coauthor Index
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