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ORCIDAnirban Majumder
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2020 – today
- 2024
[c26]Vijit Malik
, Vinayak Puranik, Anirban Majumder, Vivek Sembium:
Building Natural Language Interface for Product Search. CIKM 2024: 4768-4776- [c25]Vijit Malik, Akshay Jagatap, Vinayak Puranik, Anirban Majumder:
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents. EMNLP (Industry Track) 2024: 1536-1547 - [c24]Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. RecSys 2024: 401-410 - [c23]Charul Paliwal, Anirban Majumder, Sivaramakrishnan Kaveri:
Predictive Relevance Uncertainty for Recommendation Systems. WWW 2024: 3900-3909 - [i6]Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. CoRR abs/2404.13298 (2024) - [i5]Joymallya Chakraborty, Wei Xia, Anirban Majumder, Dan Ma, Walid Chaabene, Naveed Janvekar:
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection. CoRR abs/2409.06072 (2024) - 2023
- [c22]Sambeet Tiady, Anirban Majumder, Deepak Gupta:
PRODIGY: Product Design Guidance at Scale. CIKM 2023: 4836-4842 - [c21]Vinayak Puranik, Anirban Majumder, Vineet Chaoji:
PROTEGE: Prompt-based Diverse Question Generation from Web Articles. EMNLP (Findings) 2023: 5449-5463 - [c20]Akash Bhattacharya, Sunandan Adhikary, Ipsita Koley, Anirban Majumder, Soumyajit Dey:
Adaptive CUSUM-Based Residue Analysis for Stealthy Attack Detection in Cyber-Physical Systems. ICCPS 2023: 270-271 - [c19]Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji:
Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement. KDD 2023: 3926-3936 - 2022
- [c18]Abhirup Mondal, Anirban Majumder, Vineet Chaoji:
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. CIKM 2022: 3381-3390 - [c17]Abhirup Mondal, Anirban Majumder, Vineet Chaoji:
ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework. KDD 2022: 3584-3592 - [c16]Anshuman Mourya, Prateek Sircar, Anirban Majumder, Deepak Gupta:
Solar: Science of Entity Loss Attribution. KDD 2022: 3614-3622 - [c15]Srijeeta Maity, Rudrajyoti Roy, Anirban Majumder, Soumyajit Dey, Ashish R. Hota:
Future aware Dynamic Thermal Management in CPU-GPU Embedded Platforms. RTSS 2022: 396-408 - 2021
- [c14]Abir Chakraborty, Anirban Majumder:
Deep Embedding of Conversation Segments. ICON 2021: 555-563 - [c13]Debjyoti Bhattacharjee, Anirban Majumder, Anupam Chattopadhyay:
In-memory realization of SHA-2 using ReVAMP architecture. VLSID 2021: 47-53
2010 – 2019
- 2018
- [c12]Anirban Majumder, Abhay Pande, Kondalarao Vonteru, Abhishek Gangwar, Subhadeep Maji, Pankaj Bhatia, Pawan Goyal:
Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval. ECIR 2018: 604-610 - 2013
- [c11]Sharad Jaiswal, Anirban Majumder, K. V. M. Naidu, Nisheeth Shrivastava:
Bulk content delivery using co-operating end-nodes with upload/download limits. COMSNETS 2013: 1-10 - [c10]Anirban Majumder, Nisheeth Shrivastava:
Know your personalization: learning topic level personalization in online services. WWW 2013: 873-884 - 2012
- [c9]Anirban Majumder, Samik Datta, K. V. M. Naidu:
Capacitated team formation problem on social networks. KDD 2012: 1005-1013 - [c8]Akhil Mathur, Anirban Majumder, Samik Datta, Sreedal Menon, Shipra Malhotra, Ankur Dahiya:
LifeView: a lifelog visualization tool for supporting sentimental recall and sharing. OZCHI 2012: 371-380 - [i4]Samik Datta, Anirban Majumder, K. V. M. Naidu:
Capacitated Team Formation Problem on Social Networks. CoRR abs/1205.3643 (2012) - [i3]Anirban Majumder, Sharad Jaiswal, K. V. M. Naidu, Nisheeth Shrivastava:
Bulk content delivery using co-operating end-nodes with upload/download limits. CoRR abs/1209.1887 (2012) - [i2]Anirban Majumder, Nisheeth Shrivastava:
Know Your Personalization: Learning Topic level Personalization in Online Services. CoRR abs/1212.3390 (2012) - 2011
- [j3]Sharad Jaiswal, Anirban Majumder, K. V. M. Naidu, Girija J. Narlikar, Viswanath Poosala, Nisheeth Shrivastava, Ankur Jain:
mango: Low-cost, scalable delivery of rich content on mobile devices. Bell Labs Tech. J. 15(4): 63-78 (2011) - 2010
- [c7]Samik Datta, Anirban Majumder, Nisheeth Shrivastava:
Viral Marketing for Multiple Products. ICDM 2010: 118-127
2000 – 2009
- 2009
- [c6]Anirban Majumder, Nisheeth Shrivastava, Rajeev Rastogi, Anand Srinivasan:
Scalable Content-Based Routing in Pub/Sub Systems. INFOCOM 2009: 567-575 - [c5]Ankur Jain, Sharad Jaiswal, Anirban Majumder, K. V. M. Naidu, Girija J. Narlikar, Nisheeth Shrivastava, Viswanath Poosala:
mango: low-cost, scalable delivery of rich content on mobiles. MobiHeld 2009: 73-74 - 2008
- [j2]Sumit Ganguly, Anirban Majumder:
Deterministic K-set structure. Inf. Process. Lett. 109(1): 27-31 (2008) - [c4]Nisheeth Shrivastava, Anirban Majumder, Rajeev Rastogi:
Mining (Social) Network Graphs to Detect Random Link Attacks. ICDE 2008: 486-495 - [c3]Anirban Majumder, Rajeev Rastogi, Sriram Vanama:
Scalable regular expression matching on data streams. SIGMOD Conference 2008: 161-172 - 2007
- [j1]Supratim Deb, Ankur Jain, Anirban Majumder, K. V. M. Naidu, Jeyashankher Ramamirtham, Rajeev Rastogi, Anand Srinivasan:
Augmenting handset capacity through virtual storage. Bell Labs Tech. J. 12(2): 87-96 (2007) - [c2]Sumit Ganguly, Anirban Majumder:
CR-precis: A Deterministic Summary Structure for Update Data Streams. ESCAPE 2007: 48-59 - 2006
- [c1]Sumit Ganguly, Anirban Majumder:
Deterministic k-set structure. PODS 2006: 280-289 - [i1]Sumit Ganguly, Anirban Majumder:
CR-precis: A deterministic summary structure for update data streams. CoRR abs/cs/0609032 (2006)
Coauthor Index
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