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Vineeth N Balasubramanian

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Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?

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May 13, 2024
Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian

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C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks

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Apr 30, 2024
Sairam VC Rebbapragada, Pranoy Panda, Vineeth N Balasubramanian

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Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks

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Jan 09, 2024
Tanmay Garg, Deepika Vemuri, Vineeth N Balasubramanian

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Rethinking Robustness of Model Attributions

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Dec 16, 2023
Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian

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MADG: Margin-based Adversarial Learning for Domain Generalization

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Nov 14, 2023
Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N Balasubramanian

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Causal Inference Using LLM-Guided Discovery

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Oct 23, 2023
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, Amit Sharma

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Mitigating the Effect of Incidental Correlations on Part-based Learning

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Sep 30, 2023
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian

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Explaining Deep Face Algorithms through Visualization: A Survey

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Sep 26, 2023
Thrupthi Ann John, Vineeth N Balasubramanian, C. V. Jawahar

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Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach

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Sep 05, 2023
Vimal K B, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N Balasubramanian

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Rethinking Counterfactual Data Augmentation Under Confounding

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May 29, 2023
Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N Balasubramanian

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