Devansh Arpit

Title: Devansh Arpit: Innovator in Machine Learning Model Selection

Introduction

Devansh Arpit is a notable inventor based in Pacifica, CA (US). He has made significant contributions to the field of machine learning, particularly in model selection for domain generalization. His innovative approach has garnered attention in the tech community.

Latest Patents

Devansh holds a patent titled "Techniques for machine learning model selection for domain generalization." This patent describes a computing device that performs training of a set of machine learning models on a first data set associated with a first domain. The training process includes inputting a moving average of parameters calculated over previous iterations. The device selects model states based on validation performance and generates an ensembled machine learning model by aggregating the selected models. He has 1 patent to his name.

Career Highlights

Devansh is currently employed at Salesforce, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work has contributed to enhancing the capabilities of machine learning applications within the company.

Collaborations

Devansh collaborates with talented coworkers, including Huan Wang and Yingbo Zhou. Their combined efforts in the field of machine learning have led to advancements in technology and innovation.

Conclusion

Devansh Arpit is a pioneering inventor whose work in machine learning model selection is shaping the future of technology. His contributions at Salesforce, Inc. and his innovative patent highlight his commitment to advancing the field.