IP Library Assignment 051566/0551
Patent Assignment
Reel/Frame 051566/0551

Assignment of Assignor's Interest

Recorded: 2020-01-10 Pages: 5
Assignor
BAKER, JAMES K.
Executed: 2019-12-27
Assignee
D5AI LLC
958 VERSAILLES CIRCLE, MAITLAND, FLORIDA, 32751
Covered Properties (24)
Asynchronous Agents with Learning Coaches and Structurally Modifying Deep Neural Networks Without Performance Degradation
Application: 16/618,910 →
Publication: US 2020/0090045
Robust Anti-Adversarial Machine Learning
Application: 16/619,278 →
Publication: US 2020/0143240
Data Splitting by Gradient Direction for Neural Networks
Application: 16/618,931 →
Publication: US 2020/0134451
Aligned Training of Deep Networks
Application: 16/620,214 →
Publication: US 2021/0081761
Using Back Propagation Computation as Data
Application: 16/619,325 →
Publication: US 2020/0394521
Analyzing and Correcting Vulnerabilities in Neural Networks
Application: 16/619,338 →
Publication: US 2020/0410295
Forward Propagation of Secondary Objective for Deep Learning
Application: 16/619,346 →
Publication: US 2021/0027147
Joint Optimization of Ensembles in Deep Learning
Application: 16/619,516 →
Publication: US 2020/0210812
Robust Von Neumann Ensembles for Deep Learning
Application: 16/619,521 →
Publication: US 2020/0410090
Companion Analysis Network in Deep Learning
Application: 16/620,177 →
Publication: US 2021/0342683
Self-Supervised Back Propagation for Deep Learning
Application: 16/619,904 →
Publication: US 2021/0004688
Efficiently Building Deep Neural Networks
Application: 16/620,052 →
Publication: US 2021/0049470
Building a Deep Neural Network with Diverse Strata
Application: 16/620,058 →
Publication: US 2020/0387794
Deep Learning with Judgment
Application: 62/891,610 →
Selective Training of Deep Learning Modules
Application: 62/906,971 →
Analyzing and Correcting Vulnerabillites in Neural Networks
Forward Propagation of Secondary Objective for Deep Learning
Joint Optimization of Ensembles in Deep Learning
Robust Von Neumann Ensembles for Deep Learning
Companion Analysis Network in Deep Learning
Self-Supervised Back Propagation for Deep Learning
Building Deep Learing Ensembles with Diverse Targets
Efficently Building Deep Neural Networks
Building a Deep Neural Netwokr with Diverse Strata