Partial Transfer Learning with Selective Adversarial Networks

Adversarial learning has been successfully embedded into deep networks to learn transferable features, which reduce distribution discrepancy between the source and target domains. Existing domain adversarial networks assume fully shared label space across domains. In the presence of big data, there is strong motivation of transferring both classification and representation models from existing big domains to unknown small domains. This paper introduces partial transfer learning, which relaxes the shared label space assumption to that the target label space is only a subspace of the source label space. Previous methods typically match the whole source domain to the target domain, which are prone to negative transfer for the partial transfer problem. We present Selective Adversarial Network (SAN), which simultaneously circumvents negative transfer by selecting out the outlier source classes and promotes positive transfer by maximally matching the data distributions in the shared label space. Experiments demonstrate that our models exceed state-of-the-art results for partial transfer learning tasks on several benchmark datasets

Spin-charge separation in the one dimensional Hubbard model with longer range hopping

Although it is very hard to solve the 2D Hubbard model in the U → ∞ limit, process can be made using a class of 1D models in which additional longer range-hopping is included. Here, an unusual form of mean field theory is used to study the charge motion in the simplest model of the class - that with nearest and next next nearest neighbour hopping. The solutions found are all spin-charge separated, and for lower electron densities, indications of hard core boson like behaviour for the charge degrees of freedom are seen. For higher electron densities Nagaoka ferromagnetism is seen

Solo - Projection Mapping

Projection Artists Luke McConnell and Jordan Foster will project a multicoloured lightshow onto the clockface, roof and walls of St Peter’s Cathedral. Wintec Tutors McConnell & Foster plan to transform the Hamilton night skyscape this Christmas with their projection work entitled ‘SOLO’. Solo is a piece designed to complement the Victoria street Christmas revellers taking in the sights of the Garden Place Christmas tree and the Trees at the Meteor art exhibition. One seamless image across the surface of the building by linking three powerful 7k projectors. The animation will interact with the forms of the building with a particular focus on the clock tower - which should be visible from quite a distance. The projected animation invites the viewer to think about the connections that we make during this busy Christmas season. Hamiltonians too get caught up on the silly season and rarely get a chance to stop and think. ‘Solo’ will encourage people to think about how they can better connect with others in their community. The animation will run for about 5 minutes and will loop over the evening

Enhancing Engineering Students’ Communication Skills through a Team-Based Graphics Course Project

Although communication skills are highly valued by engineering associations and companies, instructors may find it difficult to incorporate them into specific engineering courses. Some attention has been given to research on undergraduate students’ communication skills. However, additional research and training is needed to help instructors develop curricula -- the type that can enhance students’ communication skills -- in technical subjects like engineering graphics. Such work can help engineering programs offer increased opportunities for students to continually develop desirable professional traits throughout their collegiate experience. This paper will explore the implementation of a team-based graphics course project -- one that focused on enhancing engineering students’ communication skills -- and provide recommendations for faculty teaching similar courses. Findings from open-ended survey questions indicate that students learned the importance of preparation, time management, organization, clarity, detail, and engagement. By working in a project team, students also learned patience and task delegation

A Constructive Approach to Infrastructure: Infrastructure \u27Breakdowns\u27 and the Cultivation of Rhetorical Wisdom

It is not typically the bent of infrastructure to be continually responsive in a way that is expansive and inclusive; instead, for newcomers or those with alternative histories, aims, vision, values, and perspectives, the inertia of infrastructure is more likely to be experienced as infrastructural breakdowns. We ask: What might wisdom look like in these “structured” encounters? That is, what is the intellectual work of rhetoric on those thin ledges where institutional chronos shapes and limits possibilities for knowledge work and working relationships among people who likely would not have otherwise met? In response, we advance a framework for a constructive approach to infrastructure—one that prizes deliberation over rationalization and actively attends to the warrants underlying calls for public engagement. We first consider the relationship between infrastructure, rhetorical wisdom, and the imagination of possibilities, then lay out a framework for cultivating rhetorical wisdom in response to infrastructure breakdowns