AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

Abstract The Orienteering Problem (OP) has received a lot of attention in the past few
decades. The OP is a routing problem in which the goal is to determine a subset of nodes to …

Multimodal datasets are a critical component in recent breakthroughs such as CLIP, Stable
Diffusion and GPT-4, yet their design does not receive the same research attention as model …

The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …

Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Labeling training data is increasingly the largest bottleneck in deploying machine learning
systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the …

Labeling training data is increasingly the largest bottleneck in deploying machine learning
systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the …

Crowdsourcing systems which utilize the human intelligence to solve complex tasks have
gained considerable interest and adoption in recent years. However, the majority of existing …

Labeling training data has become one of the major roadblocks to using machine learning.
Among various weak supervision paradigms, programmatic weak supervision (PWS) has …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …