In this workshop, we aim to bring researchers from the fields of open-world learning, zero/few-shot learning, domain adaptation, efficient learning methods, etc., together to share ideas about their recent research and discuss future directions for the generalization of AI models. In particular, this topic is timely and has drawn intensive attention from researchers, given the practical applications related to this topic. The workshop will present several prestigious awards, including Best Paper Award, etc., for excellent submissions to praise their contributions. We hope to provide a forum to exchange ideas and offer new insights to address this generalization problem of AI models, advancing the development of real-world AI applications. 

We invite submissions on any aspect of generalizing from limited resources in the open world. We welcome research contributions related to the following (but not limited to) topics: