because they require specific detailed skills or knowledge tuned to a specific task (knowledge engineering bottleneck) Develop systems that can automatically adapt and customize them- selves to individual

, training data-efficient (specifically, label efficient) models. We will describe the general principles of Self-Supervised learning which are applicable to both language and vision. We will also demonstrate

verify the compression gains). However, given that we computed the clusters earlier from first principles, we hope that you also got an understanding of what is happening under the covers (or wrappers

approach. Vol. 5. GMD‐Forschungszentrum Informationstechnik Bonn. [James, 2007] James, W. (2007). The principles of psychology. Vol. 1. Cosimo, Inc. [Jia et al., 2018] Jia, X., Song, S., He, W., Wang, Y., Rong