From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Abstract: The booming development of deep learning applications and services heavily relies on large deep learning models and massive data in the cloud. However, cloud-based deep learning encounters ...

Abstract: Face recognition is one of computer vision's most ac-tive research areas. The efficiency of numerous facial recognition techniques has skyrocketed with the emergence of deep learning, which ...