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Manasi Patwardhan 0001
Person information
- affiliation: Tata Consultancy Services Research, New Delhi, India
- affiliation (PhD): University of Tulsa, OK, USA
Other persons with the same name
- Manasi Patwardhan — disambiguation page
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2020 – today
- 2024
- [c20]Ravindra Naik
, Asha Rajbhoj
Workshop Report on Generative AI-based Software Engineering. ISEC 2024: 21:1-21:5 - [c19]Shubham Gandhi
Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java Refinement. LLM4CODE@ICSE 2024: 46-53 - [i4]Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Acceleron: A Tool to Accelerate Research Ideation. CoRR abs/2403.04382 (2024) - 2023
- [c18]Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) 2023: 2456-2470 - [c17]Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande:
Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. eCom@SIGIR 2023 - [c16]Shubham Paliwal, Manasi Patwardhan, Lovekesh Vig:
Generalization of Fine Granular Extractions from Charts. ICDAR (2) 2023: 94-110 - [i3]Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan:
Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. CoRR abs/2303.09062 (2023) - [i2]Krishnam Hasija, Shrishti Pradhan, Manasi Patwardhan, Raveendra Kumar Medicherla, Lovekesh Vig, Ravindra Naik:
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. CoRR abs/2304.13350 (2023) - [i1]Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR abs/2308.02582 (2023) - 2022
- [c15]Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish Karande, Niranjan Pedanekar:
Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). DE-FACTIFY@AAAI 2022 - [c14]Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff:
Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP 2022: 103-114 - 2021
- [c13]Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. ICCVW 2021: 3198-3207 - [c12]Saumajit Saha, Kanika Kalra, Manasi Patwardhan, Shirish Karande:
Performance of BERT on Persuasion for Good. ICON 2021: 313-323 - [c11]Harini S, Jayita Dutta, Manasi Patwardhan, Parijat Deshpande, Shirish Karande, Beena Rai:
A Generic Few-Shot Solution for Food Shelf-Life Prediction using Meta-Learning. AIxFood @ ACM Multimedia 2021: 13-17 - 2020
- [c10]Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha
Understanding Advertisements with BERT. ACL 2020: 7542-7547 - [c9]Nikhil Jaiswal, Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig:
Improving NMT via Filtered Back Translation. WAT@AAC/IJCNLPL 2020: 154-159 - [c8]Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. CVPR Workshops 2020: 1640-1648
2010 – 2019
- 2019
- [c7]Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff:
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. DeepLo@EMNLP-IJCNLP 2019: 115-123 - 2018
- [c6]Deepali J. Joshi
Mental health analysis using deep learning for feature extraction. COMAD/CODS 2018: 356-359 - [c5]Shubhada P. Deshmukh
Feedback based real time facial and head gesture recognition for e-learning system. COMAD/CODS 2018: 360-363 - [c4]Manasi Patwardhan, Richa Sharma, Abhishek Sainani, Shirish Karande, Smita Ghaisas:
Moving Disambiguation of Regulations from the Cathedral to the Bazaar. HCOMP (WIP&Demo) 2018 - [c3]Purushotam G. Radadia, Tushar Madhesia, Kanika Kalra, Anand Sriraman, Manasi Patwardhan, Shirish Karande:
On Localizing Keywords in Continuous Speech using Mismatched Crowd. HCOMP (WIP&Demo) 2018 - [c2]Manasi Patwardhan, Abhishek Sainani, Richa Sharma, Shirish Karande, Smita Ghaisas:
Towards automating disambiguation of regulations: using the wisdom of crowds. ASE 2018: 850-855 - [e1]Yang Liu, Tim Paek, Manasi Patwardhan:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 2-4, 2018, Demonstrations. Association for Computational Linguistics 2018, ISBN 978-1-948087-28-5 [contents] - 2017
- [c1]Deepali J. Joshi
Modeling and detecting change in user behavior through his social media posting using cluster analysis. CODS 2017: 5:1-5:9 - 2016
- [j2]Shubhada P. Deshmukh
Survey on real-time facial expression recognition techniques. IET Biom. 5(3): 155-163 (2016) - [j1]ParvezAhamad Kazi
Towards a new perspective on context based citation index of research articles. Scientometrics 107(1): 103-121 (2016)
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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