Abstract We introduce an asymmetric distance in the space of learning tasks and a framework to compute their complexity. These concepts are foundational for practice transfer learning, whereby parametric model is pre-trained task, then fine tuned another. The we develop non-asymptotic, captures finite nature training dataset allows distinguishing from memorization. It encompasses, as special ca...

depression disorders are associated with serious dysfunction and depressive symptoms. cognitive slowing is a clear symptom observed in all depressed people. pvsat is a measure of cognitive function that specifically assesses visual information processing speed and flexibility, as well as calculation ability. the aim of the present study was to determine whether the paced visual serial addition ...

Classical studies suggest that high-level cognitive decisions (e.g., choosing between financial options) are suboptimal. In contrast, low-level decisions (e.g., choosing where to put your feet on a rocky ridge) appear near-optimal: the perception-cognition gap. Moreover, in classical tasks, people appear to put too much weight on unlikely events. In contrast, when people can learn through exper...

Visualization research has yielded a number of useful techniques to generate visual representations and to allow users to explore data interactively on computer screens. Yet, the constantly growing complexity of today’s data calls for new ways of visual and interactive data analysis. This is where new display and interaction technologies offer promising possibilities yet to be explored. In this...