Gautam Rajendrakumar Gare

17 papers A* 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection. CoRR Gautam Rajendrakumar Gare, Neehar Peri, Matvei Popov, Shruti Jain, John M. Galeotti, Deva Ramanan
2025	J	`jnl`	Activation Reward Models for Few-Shot Model Alignment. CoRR Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig
2025	J	`jnl`	Label Uncertainty for Ultrasound Segmentation. CoRR Malini Shivaram, Gautam Rajendrakumar Gare, Laura Hutchins, Jacob Duplantis, Thomas Deiss, Thales Nogueira Gomes, Thong Tran, Keyur H. Patel, Thomas H. Fox, Amita Krishnan, Deva Ramanan, Bennett P. deBoisblanc, Ricardo Rodriguez, John M. Galeotti
2025	—	`conf`	Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound. ISBI Gautam Rajendrakumar Gare, Hai Tran, Bennett P. deBoisblanc, Ricardo Rodriguez, John M. Galeotti
2024	J	`jnl`	Improving Model's Interpretability and Reliability using Biomarkers. CoRR Gautam Rajendrakumar Gare, Tom Fox, Beam Chansangavej, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Kannan Ramanan, John Michael Galeotti
2024	A*	`conf`	LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. ICML Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
2024	J	`jnl`	LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies. CoRR Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
2024	J	`jnl`	LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning. CoRR Gautam Rajendrakumar Gare, Jana Armouti, Nikhil Madaan, Rohan Panda, Tom Fox, Laura Hutchins, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John M. Galeotti
2022	J	`jnl`	Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection. CoRR Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
2022	J	`jnl`	Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks. CoRR Gautam Rajendrakumar Gare, Tom Fox, Peter Lowery, Kevin Zamora, Hai V. Tran, Laura Hutchins, David Montgomery, Amita Krishnan, Deva Kannan Ramanan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, John Michael Galeotti
2022	J	`jnl`	The Role of Pleura and Adipose in Lung Ultrasound AI. CoRR Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
2022	J	`jnl`	W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data. Medical Image Anal. Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Rishikesh Magar, Mrunal Prashant Vaze, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti
2022	J	`jnl`	Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound. CoRR Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
2021	—	`conf`	Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection. ISBI Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
2021	J	`jnl`	Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions. CoRR Gautam Rajendrakumar Gare, John Michael Galeotti
2021	—	`conf`	The Role of Pleura and Adipose in Lung Ultrasound AI. CLIP/DCL/LL-COVID19/PPML@MICCAI Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
2020	J	`jnl`	W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data. CoRR Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti