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Publications (3)
Lifelong learning in autonomous systems demands the ability to acquire new knowledge over time without compromising previously learned information—a challenge known as catastrophic forgetting. This pa...
Stabilizing the training of deep neural networks (DNNs) remains a central challenge in deep learning. This study investigates the empirical effectiveness of two widely adopted regularization and norma...
Comparative analysis of constraint-guided generative models with a focus on their applicability to ethical and goal-directed content creation, as of the state of technology. With the rise of natural l...
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