Aggarwal, Gaurav

26 publications

AISTATS 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

NeurIPS 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

ICML 2023 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

AISTATS 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile

ICLRW 2022 Node-Level Differentially Private Graph Neural Networks Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

ECCV 2022 Novel Class Discovery Without Forgetting K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

CVPRW 2022 Spacing Loss for Discovering Novel Categories K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

IJCAI 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe

NeurIPS 2021 Learning to Select Exogenous Events for Marked Temporal Point Process Ping Zhang, Rishabh Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De

Distill 2021 Understanding Convolutions on Graphs Ameya Daigavane, Balaraman Ravindran, Gaurav Aggarwal

AISTATS 2014 Cluster Canonical Correlation Analysis Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal

WACV 2012 A Sparse Representation Approach to Face Matching Across Plastic Surgery Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer

WACV 2012 Predicting Good, Bad and Ugly Match Pairs Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer

CVPRW 2011 Facial Marks as Biometric Signatures to Distinguish Between Identical Twins Nisha Srinivas, Gaurav Aggarwal, Patrick J. Flynn, Richard W. Vorder Bruegge

CVPR 2011 Pose-Robust Recognition of Low-Resolution Face Images Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn

CVPRW 2011 Predicting Performance of Face Recognition Systems: An Image Characterization Approach Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer

CVPR 2007 Efficient Indexing for Articulation Invariant Shape Matching and Retrieval Soma Biswas, Gaurav Aggarwal, Rama Chellappa

ICCV 2007 Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery Soma Biswas, Gaurav Aggarwal, Rama Chellappa

CVPR 2007 Symmetric Objects Are Hardly Ambiguous Gaurav Aggarwal, Soma Biswas, Rama Chellappa

CVPRW 2006 Biometric Verification: Looking Beyond Raw Similarity Scores Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle

ICCV 2005 Face Recognition in the Presence of Multiple Illumination Sources Gaurav Aggarwal, Rama Chellappa

CVPR 2005 UMD Experiments with FRGC Data Gaurav Aggarwal, Soma Biswas, Rama Chellappa

CVPRW 2005 UMD Experiments with FRGC Data Gaurav Aggarwal, Soma Biswas, Rama Chellappa

CVPR 2000 Efficient Query Modification for Image Retrieval Gaurav Aggarwal, Sugata Ghosal, Pradeep K. Dubey