The Backpropagation algorithm, widely used to train neural networks, has...
In this paper, we propose a novel adversarial defence mechanism for imag...
Large transformers are powerful architectures for self-supervised analys...
Deep convolutional networks (DCNs) learn meaningful representations wher...
Deep neural networks progressively transform their inputs across multipl...
We explore the use of Intrinsic Dimension (ID) for gaining insights in h...