Transfer learning is a popular method in the deep learning community, but it is usually implemented naively (eg. copying weights as initialization). Co-Tuning is a recently proposed technique to improve transfer learning that is easy to implement, and effective to a wide variety of tasks.

Event camera can extend computer vision to scenarios where it is currently incompetent. In the following decades, it is hopeful that event cameras will be mature enough to be mass-produced, to have dedicated algorithms, and to show up in widely-used products.

It is often overlooked that the number of models in pre-trained model hubs is scaling up very fast. As a result, pre-trained model hubs are popular but under-exploited. Here a new paradigm is advocated to sufficiently exploit pre-trained model hubs.

Computation is going to be the new electricity, and don't build your own electric generator again! AI/ML research labs should embrace cloud computation to catch up with the new era!