IMP-MoE-L focusing on video tasks that achieves new state-of-the-art in zero-shot video classification: 77.0% on Kinetics-400, 76.8% on Kinetics-600, and 68.3% on

Sequences of millions of bytes are ubiquitous; for example, music, image, or video files typically consist of multiple megabytes.

Learning to simulate complex physics with graph networks.

Then we propose a platform, coined Geom3D, which enables benchmarking the effectiveness of geometric strategies.

The vast amount of data required to model wildfires at a larger scale presents difficulties in the collection and curation of the data.

This method not only largely simplifies specialized algorithm designs but also presents the potential to serve as a universal framework for time series modeling.