Climate change adaptation is increasingly being mainstreamed into all types of organizations across the world. A large number intergovernmental (IGOs), such as European Union, World Bank, or Food and Agriculture Organization, have already started to mainstream adaptation. Yet, despite a surge in scholarly interest climate policy integration over past decade, still predominantly studied local is...

This paper studies a new, practical but challenging problem, called Class-Incremental Unsupervised Domain Adaptation (CI-UDA), where the labeled source domain contains all classes, classes in unlabeled target increase sequentially. problem is due to two difficulties. First, and label sets are inconsistent at each time step, which makes it difficult conduct accurate alignment. Second, previous u...

Considerations of justice with regards to climate change adaptation are increasingly called for in the academic literature, but little attention has been paid dimensions regarding development policy and instruments used. Thus, there is a gap when it comes connecting different types strategies plans. Here, we synthesise findings previous studies create an index four context adaptation: recogniti...

Adaptation at early stages of sensory processing can be propagated to downstream areas. Such inherited adaptation is a potential confound for functional magnetic resonance imaging (fMRI) techniques that use selectivity of adaptation to infer neuronal selectivity. However, the relative contributions of inherited and intrinsic adaptation at higher cortical stages, and the impact of inherited adap...

Adaptation at early stages of sensory processing can be propagated to downstream areas. Such inherited adaptation is a potential confound for functional magnetic resonance imaging (fMRI) techniques that use selectivity of adaptation to infer neuronal selectivity. However, the relative contributions of inherited and intrinsic adaptation at higher cortical stages, and the impact of inherited adap...

Adaptation technologies are always useful in NLP when there is discrepancy between the training scenario and use scenario. They are also effective in alleviating the data scarcity problem. Domain adaptation is the most popular kind of adaptation technologies and is intensively researched. In this talk we will introduce two other kinds of adaptation technologies: annotation adaptation and langua...