As the use of machine learning (ML) models in product development and data-driven
decision-making processes became pervasive in many domains, people's focus on building …

The local explanation provides heatmaps on images to explain how Convolutional Neural
Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has …

Data annotation interfaces predominantly leverage ground truth labels to guide annotators
toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in domain …

Shadowing allows artists to convey realistic volume and emotion of characters in comic
colorization. While AI technologies have the potential to improve professionals' shadowing …

The widespread consumer-grade 3D printers and learning resources online enable novices
to self-train in remote settings. While troubleshooting plays an essential part of 3D printing …

Reward functions learned from human feedback serve as the training objective for RLHF,
the current state-of-the-art approach for aligning large language models to our values; …

The use of Automated Machine Learning (AutoML) systems are highly open-ended and
exploratory. While rigorously evaluating how end-users interact with AutoML is crucial …

Conflict researchers face many challenges, including (1) how to model conflicts,(2) how to
measure them,(3) how to manage their spatio-temporal character, and (4) how to handle a …

AI system designers are tasked with creating technology that caters to their users, but all of
us are nuanced individuals with equally nuanced goals that we would like to achieve. With …