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Rahul Bhotika

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Semi-supervised Vision Transformers at Scale

Aug 11, 2022
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto

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Masked Vision and Language Modeling for Multi-modal Representation Learning

Aug 03, 2022
Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto

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X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks

Apr 12, 2022
Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto

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Class-Incremental Learning with Strong Pre-trained Models

Apr 07, 2022
Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

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Task Adaptive Parameter Sharing for Multi-Task Learning

Mar 30, 2022
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto

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Representation Consolidation for Training Expert Students

Jul 16, 2021
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto

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A linearized framework and a new benchmark for model selection for fine-tuning

Jan 29, 2021
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

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Revisiting Contrastive Learning for Few-Shot Classification

Jan 26, 2021
Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto

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Estimating informativeness of samples with Smooth Unique Information

Jan 17, 2021
Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

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Predicting Training Time Without Training

Aug 28, 2020
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

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