Mutual learning globally

Mutual learning globally

This article is about the development of the trauma field over the last 20 years from an organizational perspective, and about trauma from a global, culture-sensitive perspective. My professional career is very closely linked to the development of the European Society for Traumatic Stress Studies (ESTSS) in the 1990s. Later on, I was fortunate enough to witness, and contribute to, the Internati...

Mutual Learning or Mutual Disappointment

Deep Mutual Learning

Model distillation is an effective and widely used technique to transfer knowledge from a teacher to a student network. The typical application is to transfer from a powerful large network or ensemble to a small network, that is better suited to low-memory or fast execution requirements. In this paper, we present a deep mutual learning (DML) strategy where, rather than one way transfer between ...

Learning and Mutual Adaptation

If distributed cognition is to become a general analytic frame, it needs to handle more aspects of cognition than just highly efficient problem solving. It should also handle learning. We identify four classes of distributed learning: induction, repurposing, symbiotic tuning, and mutual adaptation. The four classes of distributed learning fit into a two-dimensional space defined by the stabilit...

Mutual Alignment Transfer Learning

Training robots for operation in the real world is a complex, time consuming and potentially expensive task. Despite significant success of reinforcement learning in games and simulations, research in real robot applications has not been able to match similar progress. While sample complexity can be reduced by training policies in simulation, such policies can perform sub-optimally on the real ...