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Vijaya Raghavan T Ramkumar

2 accepted papers

2024

Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets

NeurIPS 2024poster

The efficacy of deep learning techniques is contingent upon access to large volumes of data (labeled or unlabeled). However, in practical domains such as medical applications, data availability is often limited. This presents a significant challenge: How can we effectively train deep neural networks…

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2024

The Effectiveness of Random Forgetting for Robust Generalization

ICLR 2024poster

Deep neural networks are susceptible to adversarial attacks, which can compromise their performance and accuracy. Adversarial Training (AT) has emerged as a popular approach for protecting neural networks against such attacks. However, a key challenge of AT is robust overfitting, where the network's…