IEEE

Semantic Concentration for Self-Supervised Dense Representations Learning

Abstract: Recent advances in image-level self-supervised learning (SSL) have made significant progress, yet learning dense representations for patches remains challenging. Mainstream methods encounter ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
Nature

Semi-automated detection of cleaning interactions using supervised machine learning

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
The New York Times

At Glamour, a Once-Mighty Magazine, a Skeleton Crew Churns Out Shopping Links

Job cuts at Glamour and a greater focus on posts with shopping tips offer one of the clearest examples of the waning reign of women’s magazines. By Sapna Maheshwari For nearly 90 years, Glamour ...
Nature

Self-supervised reservoir computing with spatial-temporal encoding for identifying critical transitions

Anticipating critical transitions and identifying bifurcation types in complex systems remains a major challenge due to high dimensionality and limited labeled data. In this study, we propose ...
IEEE

Physics-based self-supervised learning of a deep network for single-shot in-line hologram reconstruction

Abstract: Digital in-line holographic microscopy is a computational imaging method useful for characterizing the refractive properties of a sample, i.e. the phase shift and absorption. This indirect ...