64 citations · 105 across the 10 of their papers we have counts for
3 papers · 1 filter
Learning Interpretable Models Through Multi-Objective Neural Architecture Search
Zachariah Carmichael, Tim Moon, Sam Ade Jacobs
Monumental advances in deep learning have led to unprecedented achievements across various domains. While the performance of deep neural networks is indubitable, the architectural…
A Framework for Evaluating Post Hoc Feature-Additive Explainers
Zachariah Carmichael, Walter J. Scheirer
Many applications of data-driven models demand transparency of decisions, especially in health care, criminal justice, and other high-stakes environments. Modern trends in machine…
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Sophia Abraham, Zachariah Carmichael, Sreya Banerjee +5
Computer vision approaches are widely used by autonomous robotic systems to sense the world around them and to guide their decision making as they perform diverse tasks such as col…