Re-finding information is an essential activity, however, it can be diff...
Diffusion-based generative models' impressive ability to create convinci...
We present our ongoing work NeuroMapper, an in-browser visualization too...
As the information on the Internet continues growing exponentially,
unde...
Deep neural networks (DNNs) have been widely used for decision making,
p...
Existing research on making sense of deep neural networks often focuses ...
As job markets worldwide have become more competitive and applicant sele...
With the widespread use of toxic language online, platforms are increasi...
Skeleton-based human action recognition technologies are increasingly us...
With the recent release of AI interaction guidelines from Apple, Google,...
Deep neural networks (DNNs) are now commonly used in many domains. Howev...
Graph data have become increasingly common. Visualizing them helps peopl...
Deep learning's great success motivates many practitioners and students ...
Deep neural networks (DNNs) are increasingly powering high-stakes
applic...
The success of deep learning solving previously-thought hard problems ha...
As toxic language becomes nearly pervasive online, there has been increa...
As deep neural networks are increasingly used in solving high-stake prob...
Deep learning is increasingly used in decision-making tasks. However,
un...
How can we leverage social network data and observed ratings to correctl...
Between matrix factorization or Random Walk with Restart (RWR), which me...