Gagan Madan - RankMe

14 papers A 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Improving Retrieval in Sponsored Search by Leveraging Query Context Signals. EMNLP (Industry Track) Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh
2024	J	`jnl`	Improving Retrieval in Sponsored Search by Leveraging Query Context Signals. CoRR Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh
2024	A	`conf`	Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. AISTATS Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
2023	J	`jnl`	A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR 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
2023	J	`jnl`	Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering. CoRR Nidhi Hegde, Sujoy Paul, Gagan Madan, Gaurav Aggarwal
2023	J	`jnl`	Is it an i or an l: Test-time Adaptation of Text Line Recognition Models. CoRR Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, R. Reeve Ingle, Gaurav Aggarwal
2023	—	`conf`	Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images. ICDAR (4) Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal
2023	J	`jnl`	Weakly supervised information extraction from inscrutable handwritten document images. CoRR Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal
2022	J	`jnl`	Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. CoRR Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
2021	J	`jnl`	Node-Level Differentially Private Graph Neural Networks. CoRR Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain
2018	A	`conf`	Block-Value Symmetries in Probabilistic Graphical Models. UAI Gagan Madan, Ankit Anand, Mausam, Parag Singla
2018	J	`jnl`	Block-Value Symmetries in Probabilistic Graphical Models. CoRR Gagan Madan, Ankit Anand, Mausam, Parag Singla
2017	J	`jnl`	A Survey of Distant Supervision Methods using PGMs. CoRR Gagan Madan
2016	J	`jnl`	Topic Modeling Using Distributed Word Embeddings. CoRR Ramandeep S. Randhawa, Parag Jain, Gagan Madan