Priyanshu Gupta

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Citations	52	52
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i10-index	3	3

20212022202320247 12 20 13

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Sumit GulwaniPartner Research Manager, MicrosoftVerified email at microsoft.com
Yasharth BajpaiAssociate Researcher, MicrosoftVerified email at microsoft.com
Ashish TiwariComputer Scientist, SRI International; Researcher MicrosoftVerified email at csl.sri.com
Gustavo SoaresResearcher, MicrosoftVerified email at microsoft.com
Arjun RadhakrishnaMicrosoftVerified email at microsoft.com
Mohammadreza QaraeiPhD student in Computer Science, Aalto UniversityVerified email at aalto.fi
Rohit BabbarUniversity of Bath, UK and Aalto University, Helsinki, FinlandVerified email at aalto.fi
Erik SchultheisPhD Candidate, Aalto UniversityVerified email at aalto.fi
Yuhao ZhangUniversity of Wisconsin-MadisonVerified email at wisc.edu
Pasquale MinerviniUniversity of Edinburgh, ELLISVerified email at ed.ac.uk
Jatin ChauhanUCLAVerified email at cs.ucla.edu
Anirudh KhatryMicrosoftVerified email at microsoft.com
Ashutosh ModiIndian Institute of Technology KanpurVerified email at cse.iitk.ac.in
Nidhi HegdePre-doctoral Researcher, GoogleVerified email at google.com
Ishika SinghCS PhD student, USCVerified email at usc.edu

Priyanshu Gupta

Microsoft

Verified email at microsoft.com

Machine Learning Natural Language Processing Program Synthesis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convex surrogates for unbiased loss functions in extreme classification with missing labels M Qaraei, E Schultheis, P Gupta, R Babbar Proceedings of the Web Conference 2021, 3711-3720, 2021	22	2021
Overwatch: Learning patterns in code edit sequences Y Zhang, Y Bajpai, P Gupta, A Ketkar, M Allamanis, T Barik, S Gulwani, ... Proceedings of the ACM on Programming Languages 6 (OOPSLA2), 395-423, 2022	11	2022
Grace: Language Models Meet Code Edits P Gupta, A Khare, Y Bajpai, S Chakraborty, S Gulwani, A Kanade, ... ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software …, 2023	10*	2023
Unbiased loss functions for extreme classification with missing labels E Schultheis, M Qaraei, P Gupta, R Babbar arXiv preprint arXiv:2007.00237, 2020	5	2020
A Probabilistic Framework for Knowledge Graph Data Augmentation J Chauhan, P Gupta, P Minervini arXiv preprint arXiv:2110.13205, 2021	2	2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes H Kumar, J Shah, N Hegde, P Gupta, V Jindal, A Modi Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021	1	2021
A Defocus Based Novel Keyboard Design P Gupta, T Goswamy, H Kumar, KS Venkatesh Human-Computer Interaction. Multimodal and Natural Interaction: Thematic …, 2020	1	2020
TSTR: Target Similarity Tuning Meets the Real World A Khatry, S Gulwani, P Gupta, V Le, M Singh, A Singha, G Verbruggen The 2023 Conference on Empirical Methods in Natural Language Processing, 2023		2023
Augmented Embeddings for Custom Retrievals A Khatry, Y Bajpai, P Gupta, S Gulwani, A Tiwari arXiv preprint arXiv:2310.05380, 2023		2023
Machine-learning techniques for augmenting electronic documents with data-verification indicators N Goyal, V Shankhpal, P Gupta, I Singh, BS Bijlani, A velu Natarajan US Patent 11,687,716, 2023		2023
Clinical profile of pediatric patients with cerebral palsy SS Gupta, PS Gupta

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