Although recently proposed parameter-efficient transfer learning (PETL) techniques allowupdating asmallsubsetofparameters (e.g. This is because the gradient computation for the trainable parameters still requires backpropagation through thelargepre-trained backbone model.

The subtext to each question is initalics.Theanswers are in plain text with no formatting. Was there a specific gap that needed to be filled?Please provide a description.The Dollar Street dataset is a supervised image dataset derived from Gapminder'sDollar Street project (https://www.gapminder.org/dollar-street)that It was created with three goals in mind:1. Make available a highly curated set of images with valuable metadata (e.g.country, monthly income) that is more closely representative of the geographicand socioeconomic diversity of the world when compared with existing imagedatasets.2. Help combat bias in downstream applications (e.g.

Work todate has highlighted the challenges inmitigating bias within these datasets.

Continual learning requires the model to learn multiple tasks in a sequential order.

Figure 3: Reconstruction (top) anddivergence (bottom) losscomparisonforJSG (left) andJSG (right) against KL(q(z|x)kp(z))(VAE) and KL(p(z)kq(z|x))onthe MNISTdataset.