Visualizing and Interpreting Transformer-based Vision Models
Transformer-based vision models are increasingly popular and we need better ways to interpret and visualize their predictions. Previous works have been limit...
Transformer-based vision models are increasingly popular and we need better ways to interpret and visualize their predictions. Previous works have been limit...
The ability to automatically classify the class at the pixel level of satellite imagery has a wide range of applications including monitoring, managing, and ...
Multi-core processors, in 2022 are the default choice for a variety of computing needs from small Internet-of-Things devices to large super-computing cluster...
In this work we explore the use of Twitter feeds and news articles as alternative data sources to predict the closing stock prices of leading green companies...
During the last couple of decades, there has been an exponential growth in the amount of time and energy required to run workloads on high-performance comput...