Search Results - "Venkataramani, Rahul"

Causal Feature Alignment: Learning to Ignore Spurious Background Features by Venkataramani, Rahul, Dutta, Parag, Melapudi, Vikram, Dukkipati, Ambedkar

“…Deep neural networks are susceptible to spurious features strongly correlating with the target. This phenomenon leads to sub-optimal performance during…”
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Towards Continuous Domain Adaptation For Medical Imaging by Venkataramani, Rahul, Ravishankar, Hariharan, Anamandra, Saihareesh

“…Deep learning algorithms have demonstrated tremendous success on challenging medical imaging problems. However, post-deployment, these algorithms are…”
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Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation by Babu, Krishan Agyakari Raja, Sathish, Rachana, Pattanaik, Mrunal, Venkataramani, Rahul

“…Synthetic data is becoming increasingly integral in data-scarce fields such as medical imaging, serving as a substitute for real data. However, its inherent…”
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Task-driven Prompt Evolution for Foundation Models by Sathish, Rachana, Venkataramani, Rahul, Shriram, K S, Sudhakar, Prasad

“…Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised…”
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Towards Continuous Domain adaptation for Healthcare by Venkataramani, Rahul, Ravishankar, Hariharan, Anamandra, Saihareesh

“…Deep learning algorithms have demonstrated tremendous success on challenging medical imaging problems. However, post-deployment, these algorithms are…”
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Filter sharing: Efficient learning of parameters for volumetric convolutions by Venkataramani, Rahul, Thiruvenkadam, Sheshadri, Sudhakar, Prasad, Ravishankar, Hariharan, Vaidya, Vivek

“…Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them. In medical…”
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Understanding the Mechanisms of Deep Transfer Learning for Medical Images by Ravishankar, Hariharan, Sudhakar, Prasad, Venkataramani, Rahul, Thiruvenkadam, Sheshadri, Annangi, Pavan, Babu, Narayanan, Vaidya, Vivek

“…The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is…”
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Latent Co-development Analysis Based Semantic Search for Large Code Repositories by Venkataramani, Rahul, Asadullah, Allahbaksh, Bhat, Vasudev, Muddu, Basavaraju

“…Distributed and collaborative software development has increased the popularity of source code repositories like GitHub. With the number of projects in such…”
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