Gagan Madan

According to our database, Gagan Madan authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Retrieval in Sponsored Search by Leveraging Query Context Signals.

Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components.

Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering.

Nidhi Hegde, Sujoy Paul, Gagan Madan, Gaurav Aggarwal

CoRR, 2023

Is it an i or an l: Test-time Adaptation of Text Line Recognition Models.

Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, R. Reeve Ingle, Gaurav Aggarwal

CoRR, 2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.

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

CoRR, 2023

Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images.

Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition.

Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava

CoRR, 2022

2021

Node-Level Differentially Private Graph Neural Networks.

Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

CoRR, 2021

2018

Block-Value Symmetries in Probabilistic Graphical Models.

Gagan Madan, Ankit Anand, Mausam, Parag Singla

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

A Survey of Distant Supervision Methods using PGMs.

Gagan Madan

CoRR, 2017

2016

Topic Modeling Using Distributed Word Embeddings.

Ramandeep S. Randhawa, Parag Jain, Gagan Madan

CoRR, 2016