Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Remarkable performance has been reported to recognize single object classes. Scalability to large numbers of classes however remains an important challenge for today's recogn...
Marcus Rohrbach, Michael Stark, Gyö Szarvas, Bern...
Abstract. This paper explores the role of transactive memory in enabling knowledge transfer between globally distributed teams. While the information systems literature has recentl...
Abstract. For the improvement of software quality and productivity, organizations need to systematically build up and reuse software engineering know-how, promoting organizational ...
Researchers and network operators often say that BGP table transfers are slow. Despite this common knowledge, the reasons for slow BGP transfers are not well understood. This pape...