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Priyanshu Gupta
Priyanshu Gupta
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
252021
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
152022
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
11*2023
Unbiased loss functions for extreme classification with missing labels
E Schultheis, M Qaraei, P Gupta, R Babbar
arXiv preprint arXiv:2007.00237, 2020
52020
A Probabilistic Framework for Knowledge Graph Data Augmentation
J Chauhan, P Gupta, P Minervini
arXiv preprint arXiv:2110.13205, 2021
22021
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
12021
A Defocus Based Novel Keyboard Design
P Gupta, T Goswamy, H Kumar, KS Venkatesh
Human-Computer Interaction. Multimodal and Natural Interaction: Thematic …, 2020
12020
LOGIC-LM++: Multi-Step Refinement for Symbolic Formulations
S Kirtania, P Gupta, A Radhakirshna
arXiv preprint arXiv:2407.02514, 2024
2024
METAREFLECTION: Learning Instructions for Language Agents using Past Reflections
P Gupta, S Kirtania, A Singha, S Gulwani, A Radhakrishna, S Shi, ...
arXiv preprint arXiv:2405.13009, 2024
2024
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
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