Scott Sanner

Title: Scott Sanner: Innovator in Online Learning Technologies

Introduction

Scott Sanner is an accomplished inventor based in Scarborough, ME (US). He has made significant contributions to the field of online learning technologies, particularly in the area of continual learning. His innovative approach focuses on enhancing the learning process through advanced data management techniques.

Latest Patents

Scott Sanner holds a patent for "Online class-incremental continual learning with adversarial Shapley value." This method scores training data samples based on their ability to preserve latent decision boundaries for previously observed classes. It promotes learning from new images in an online data stream. The process involves receiving input batches of new images, performing memory retrieval to retain previously learned knowledge, and updating memory by selecting and exchanging a small set of data. Additionally, the method employs data valuation based on KNN-SV for strategic data selection.

Career Highlights

Throughout his career, Scott has worked with notable organizations, including LG Electronics Inc. and the University of Toronto. His experience in these institutions has allowed him to develop and refine his innovative ideas in the realm of online learning.

Collaborations

Scott has collaborated with talented individuals such as Dongsub Shim and Zheda Mai. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Scott Sanner is a pioneering inventor whose work in online learning technologies has the potential to transform how data is utilized in educational settings. His innovative methods and collaborations continue to push the boundaries of what is possible in continual learning.