loadpatents
Patent applications and USPTO patent grants for SRIVASTAVA; Nitish.The latest application filed is for "generative scene networks".
Patent | Date |
---|---|
Generative Scene Networks App 20220292781 - BAUTISTA MARTIN; Miguel Angel ;   et al. | 2022-09-15 |
Three-dimensional object estimation using two-dimensional annotations Grant 11,373,411 - Goh , et al. June 28, 2 | 2022-06-28 |
Attention Free Transformer App 20220108212 - ZHAI; Shuangfei ;   et al. | 2022-04-07 |
Key point recognition with uncertainty measurement Grant 11,080,562 - Saxena , et al. August 3, 2 | 2021-08-03 |
System And Method For Addressing Overfitting In A Neural Network App 20210224659 - Hinton; Geoffrey E. ;   et al. | 2021-07-22 |
System and method for addressing overfitting in a neural network Grant 10,977,557 - Hinton , et al. April 13, 2 | 2021-04-13 |
Encoding Three-Dimensional Data For Processing By Capsule Neural Networks App 20210090302 - Srivastava; Nitish ;   et al. | 2021-03-25 |
Inspection neural network for assessing neural network reliability Grant 10,943,148 - Hu , et al. March 9, 2 | 2021-03-09 |
System And Method For Addressing Overfitting In A Neural Network App 20190347558 - Hinton; Geoffrey E. ;   et al. | 2019-11-14 |
System and method for addressing overfitting in a neural network Grant 10,366,329 - Hinton , et al. July 30, 2 | 2019-07-30 |
Inspection Neural Network For Assessing Neural Network Reliability App 20180157934 - Hu; Rui ;   et al. | 2018-06-07 |
Partially Shared Neural Networks For Multiple Tasks App 20180157972 - Hu; Rui ;   et al. | 2018-06-07 |
uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.
While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.
All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.