Nitin Gupta - RankMe

38 papers A* 6A 2B 4C 3Misc 3Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	From Natural Language to Executable ETL Flows: The IBM DataStage Assistant. AAAI Nitin Gupta, Thomas Gschwind, Shramona Chakraborty, Sameep Mehta, Tristan Tyler, Shreya Sisodia, Ben Clermont
2025	—	`conf`	Classifier-Augmented Generation for Structured Workflow Prediction. EMNLP (Industry Track) Thomas Gschwind, Shramona Chakraborty, Nitin Gupta, Sameep Mehta
2025	J	`jnl`	Classifier-Augmented Generation for Structured Workflow Prediction. CoRR Thomas Gschwind, Shramona Chakraborty, Nitin Gupta, Sameep Mehta
2025	—	`conf`	Group, Embed and Reason: A Hybrid LLM and Embedding Framework for Semantic Attribute Alignment. EMNLP (Industry Track) Shramona Chakraborty, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Ronen Kat, Itay Etelis, Mohamed Mahameed, Itai Guez, Rachel Tzoref-Brill
2025	Misc	`conf`	RAC-GAN: Iterative Dual-Objective Over and Under Sampling for Imbalanced Datasets. ICASSP Nitin Gupta, Shashank Mujumdar, Ruhi Sharma Mittal, Hima Patel
2025	—	`conf`	Schema and Natural Language Aware In-Context Learning for Improved GraphQL Query Generation. NAACL (Industry Track) Nitin Gupta, Manish Kesarwani, Sambit Ghosh, Sameep Mehta, Carlos Eberhardt, Dan Debrunner
2024	—	`conf`	GraphQL Query Generation: A Large Training and Benchmarking Dataset. EMNLP (Industry Track) Manish Kesarwani, Sambit Ghosh, Nitin Gupta, Shramona Chakraborty, Renuka Sindhgatta, Sameep Mehta, Carlos Eberhardt, Dan Debrunner
2024	A*	`conf`	LLM-powered GraphQL Generator for Data Retrieval. IJCAI Balaji Ganesan, Sambit Ghosh, Nitin Gupta, Manish Kesarwani, Sameep Mehta, Renuka Sindhgatta
2023	J	`jnl`	A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks. ACM J. Data Inf. Qual. Hima Patel, Shanmukha C. Guttula, Nitin Gupta, Sandeep Hans, Ruhi Sharma Mittal, Lokesh Nagalapatti
2023	J	`jnl`	Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems. CoRR Nischal Ashok Kumar, Nitin Gupta, Shanmukha C. Guttula, Hima Patel
2022	—	`conf`	Automatic Assessment of Quality of your Data for AI. COMAD/CODS Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala
2021	—	`conf`	1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel
2021	A*	`conf`	2nd International Workshop on Data Quality Assessment for Machine Learning. KDD Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi
2021	J	`jnl`	Comparison of Outlier Detection Techniques for Structured Data. CoRR Amulya Agarwal, Nitin Gupta
2021	J	`jnl`	Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha
2021	A*	`conf`	Data Quality for Machine Learning Tasks. KDD Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala
2021	—	`conf`	Data-Debugging Through Interactive Visual Explanations. PAKDD (Workshops) Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina, Dakuo Wang
2020	B	`conf`	Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions. ICPR Arvind Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta
2020	A*	`conf`	Overview and Importance of Data Quality for Machine Learning Tasks. KDD Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala
2020	J	`jnl`	Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data. CoRR Smit Marvaniya, UmaMaheswari Devi, Jagabondhu Hazra, Shashank Mujumdar, Nitin Gupta
2019	J	`jnl`	A novel feature transform framework using deep neural network for multimodal floor plan retrieval. Int. J. Document Anal. Recognit. Divya Sharma, Nitin Gupta, Chiranjoy Chattopadhyay, Sameep Mehta
2019	Misc	`conf`	Learning Convolutional Neural Networks with Deep Part Embeddings. ICASSP Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta
2019	Misc	`conf`	Radial Loss for Learning Fine-grained Video Similarity Metric. ICASSP Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay
2019	A	`conf`	Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. ICDAR Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick
2018	—	`conf`	Content Driven Enrichment of Formal Text using Concept Definitions and Applications. HT Abhinav Jain, Nitin Gupta, Shashank Mujumdar, Sameep Mehta, Rishi Madhok
2018	B	`conf`	Learning an Order Preserving Image Similarity through Deep Ranking. ICPR Nitin Gupta, Shashank Mujumdar, Suranjana Samanta, Sameep Mehta
2018	B	`conf`	Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video. ICPR Nitin Gupta, Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Sameep Mehta
2018	C	`conf`	REXplore: A Sketch Based Interactive Explorer for Real Estates Using Building Floor Plan Images. ISM Divya Sharma, Nitin Gupta, Chiranjoy Chattopadhyay, Sameep Mehta
2018	A*	`conf`	Semantic Understanding for Contextual In-Video Advertising. AAAI Rishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta
2017	C	`conf`	Coherent Visual Description of Textual Instructions. ISM Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Sameep Mehta
2017	J	`jnl`	Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu
2017	A	`conf`	DANIEL: A Deep Architecture for Automatic Analysis and Retrieval of Building Floor Plans. ICDAR Divya Sharma, Nitin Gupta, Chiranjoy Chattopadhyay, Sameep Mehta
2017	C	`conf`	Deep Attribute Driven Image Similarity Learning Using Limited Data. ISM Nitin Gupta, Ankush Gupta, Vikas Joshi, L. Venkata Subramaniam, Sameep Mehta
2015	—	`conf`	Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval. PerMIn Nitin Gupta, Sukhendu Das, Gyanesh Dwivedi
2015	—	`conf`	Extracting information from a query image, for content based image retrieval. ICAPR Nitin Gupta, Sukhendu Das, Sutanu Chakraborti
2014	B	`conf`	Hierarchy of visual features for object recognition. ICIP Nitin Gupta, Sukhendu Das, Sutanu Chakraborti
2014	—	`conf`	Revealing What to Extract from Where, for Object-Centric Content Based Image Retrieval (CBIR). ICVGIP Nitin Gupta, Sukhendu Das, Sutanu Chakraborti
2011	J	`jnl`	Parallel implementation of DNA sequences matching algorithms using PWM on GPU architecture. Int. J. Bioinform. Res. Appl. Rahul Sharma, Nitin Gupta, Vipin Narang, Ankush Mittal