Deep Neural Networks
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How integrating BatchNorm in a standard Vision transformer architecture results in faster convergence for a…
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Are Artificial Intelligence models evolving towards a unified representation of reality? The Platonic Representation Hypothesis…
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A new unsupervised method that combines two concepts of vector quantization and space-filling curves to…
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Neural Networks via Information A way to better understand learning with deep neural networks Currently,…
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What are adversarial attacks and How to protect your embedded devices from those
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What if behind every modern deep neural network a “lottery ticket” was hidden? A much…
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We can create new deep neural networks by changing very few lines of code of…
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Correctly defining what makes a neural network deep is important. This post proposes an alternative…
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Getting qualitative insights from hidden layers Nature is an infinite sphere whose center is everywhere…
17 min read