Machine learning models often learn latent embedding representations tha...
Computational notebooks such as Jupyter Notebook have become data scient...
Diffusion-based generative models' impressive ability to create convinci...
Machine learning (ML) models can fail in unexpected ways in the real wor...
We present Queer in AI as a case study for community-led participatory d...
As machine learning (ML) is increasingly integrated into our everyday We...
Machine learning (ML) recourse techniques are increasingly used in
high-...
With recent advancements in diffusion models, users can generate high-qu...
As the information on the Internet continues growing exponentially,
unde...
Given thousands of equally accurate machine learning (ML) models, how ca...
Machine learning (ML) interpretability techniques can reveal undesirable...
As machine learning (ML) systems become increasingly widespread, it is
n...
Advances in Natural Language Processing (NLP) have revolutionized the wa...
How can we develop visual analytics (VA) tools that can be easily adopte...
CNN image classifiers are widely used, thanks to their efficiency and
ac...
How can we better organize code in computational notebooks? Notebooks ha...
Recent strides in interpretable machine learning (ML) research reveal th...
Why do large pre-trained transformer-based models perform so well across...
How can we design Natural Language Processing (NLP) systems that learn f...
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...
Discovering research expertise at universities can be a difficult task.
...
Graph data have become increasingly common. Visualizing them helps peopl...
Discovering research expertise at institutions can be a difficult task.
...
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...