Here’s an interesting article that I found via LinkedIn.
Mind Machine learning experts struggle to deal with “overfitting” in neural networks. Evolution solved it with dreams, says new theory. The world of sport is filled with superstition. Michael Jordan famously wore University of North Carolina shorts under his Chicago Bulls kit; Serena Williams wears the same socks throughout […]
By imposing an objectness prior, this paper a module that is able to recognize permutation-invariant sets of objects from pixels in both supervised and unsupervised settings. It does so by introducing a slot attention module that combines an attention mechanism with dynamic routing.
Code migration between languages is an expensive and laborious task. To translate from one language to the other, one needs to be an expert at both. Current automatic tools often produce illegible and complicated code. This paper applies unsupervised neural machine translation to source code of Python, C++, and Java and is able to translate between them, without ever being trained in a supervised fashion.
This tutorial on TensorFlow.org implements a simplified Quantum Convolutional Neural Network (QCNN), a proposed quantum analogue to a classical convolutional neural network that is also translationally invariant.
This tutorial implements a simplified Quantum Convolutional Neural Network (QCNN), a proposed quantum analogue to a classical convolutional neural network that is also translationally invariant . This example demonstrates how to detect certain properties of a quantum data source, such as a quantum sensor or a complex simulation from […]