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Conference and Workshop Papers
- 2024
[c3]Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava:
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. AISTATS 2024: 1702-1710- 2023
- [c2]Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal:
Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images. ICDAR (4) 2023: 445-463 - 2018
- [c1]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. UAI 2018: 886-895
Informal and Other Publications
- 2024
- [i10]Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh:
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals. CoRR abs/2407.14346 (2024) - 2023
- [i9]Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai:
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR abs/2303.17376 (2023) - [i8]Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal:
Weakly supervised information extraction from inscrutable handwritten document images. CoRR abs/2306.06823 (2023) - [i7]Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, R. Reeve Ingle, Gaurav Aggarwal:
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models. CoRR abs/2308.15037 (2023) - [i6]Nidhi Hegde, Sujoy Paul, Gagan Madan, Gaurav Aggarwal:
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering. CoRR abs/2309.14389 (2023) - 2022
- [i5]Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava:
Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. CoRR abs/2210.03505 (2022) - 2021
- [i4]Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain:
Node-Level Differentially Private Graph Neural Networks. CoRR abs/2111.15521 (2021) - 2018
- [i3]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. CoRR abs/1807.00643 (2018) - 2017
- [i2]Gagan Madan:
A Survey of Distant Supervision Methods using PGMs. CoRR abs/1705.03751 (2017) - 2016
- [i1]Ramandeep S. Randhawa, Parag Jain, Gagan Madan:
Topic Modeling Using Distributed Word Embeddings. CoRR abs/1603.04747 (2016)
Coauthor Index
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