Landing Ai

Nestec S.a.

Intercontinental Great Brands LLC

Premier Nutrition Corporation

Junjie Guan

Yan Liu

Kai Yang

Aditi Shetty

Francisco Matias Cuenca-Acuna

Mandeep Bindra

Andrew Yan-Tak Ng

Yu Qing Zhou

Mark William Sabini

Daniel Bibireata

Dillon Laird

Pingyang He

Ankur Rawat

Quinn Killough

Vivek Dilip Savant

Sebastian Rodriguez

Camilo Iral

Theodore James Anastasiou

Zeqi Qiu

Aldrin Leal

Mingrui Zhang

Ramesh Sampath

Cristobal Silva

Sanjay Bodhu

Whit Blodgett

Juan Camilo Fernancez

Camilo Zapata

Leela Seshu Reddy Cheedepudi

Tinyee Hoang

Joycelyn P May

Deborah Lynn Osborne

Frank Craig Jimenez

Cynthia Marie Boice

Karlyn Ross Welsh

Lisa Diane Reavlin

Tesfalidet Haile

Eric Scott Zaltas

Dino Carlo Ferri

Claudia L Froebe

Dorothy Ellen Euan

Deborah Ann Levenson

Tasoula A Michaelidoa

A model management system adaptively refines a training dataset for more effective visual inspection. The system trains a machine learning model using the 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 determines that performance of predictions for noisy data points are inadequate and determines a cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. The system determines a cause of failure based on an attribute of the noisy datapoint that deviates from the distribution of the training dataset and performs refinement towards the training dataset based on the identified cause of failure. The system retrains the machine learning model with the refined training dataset and sends the retrained machine learning model back to the client for re-deployment.

Model management system for improving training data through machine learning deployment

Growing community of inventors

Redmond, WA, United States of America

Junjie Guan