Quinn Killough

Title: Innovations by Quinn Killough in Machine Learning

Introduction

Quinn Killough is an accomplished inventor based in Sonoma, California. He has made significant contributions to the field of machine learning, particularly in model management systems. With two patents to his name, Killough's work focuses on improving training data and error analysis in machine learning applications.

Latest Patents

Killough's latest patents include a "Model management system for improving training data through machine learning deployment." This innovative system adaptively refines a training dataset for more effective visual inspection. It trains a machine learning model using an initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system identifies inadequate performance of predictions for noisy data points and determines the cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. It then retrains the machine learning model with the refined training dataset and sends the retrained model back to the client for re-deployment.

Another notable patent is the "Guided workflow for deep learning error analysis." This model management system performs error analysis on results predicted by a machine learning model. It identifies incorrectly classified images and uses the Neural Template Matching (NTM) algorithm to find additional correlated images. The system outputs these correlated images based on a user-defined region of interest and prompts tasks associated with the additional images. It also allows for retraining the machine learning model using updated training datasets that include replacement labels.

Career Highlights

Quinn Killough has established himself as a key figure in the machine learning domain through his innovative patents and contributions. His work at Landing AI has positioned him at the forefront of advancements in model management systems.

Collaborations

Killough collaborates with talented individuals such as Mark William Sabini and Kai Yang, enhancing the innovative environment at Landing AI.

Conclusion

Quinn Killough's contributions to machine learning through his patents demonstrate his commitment to advancing technology in this field. His innovative approaches to model management and error analysis are paving the way for more effective machine learning applications.