Tech Center 2100 • Art Units: 2122
This examiner grants 27% of resolved cases
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17722858 | METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION | Non-Final OA | Samsung Electronics Co., Ltd. |
| 17471345 | Core Data Augmentation Methods For Developing Data Driven Based Petrophysical Interpretation Models | Non-Final OA | Halliburton Energy Services, Inc. |
| 17791392 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 17617659 | IDENTIFICATION APPARATUS, IDENTIFICATION METHOD AND RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 18167139 | FEDERATED LEARNING METHOD, DEVICE, AND SYSTEM | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17726724 | ANOMALY DETECTION IN UNKNOWN DOMAINS USING CONTENT-IRRELEVANT AND DOMAIN-IRRELEVANT COMPRESSED DATA | Non-Final OA | International Business Machines Corporation |
| 17551533 | FABRICATING DATA USING CONSTRAINTS TRANSLATED FROM TRAINED MACHINE LEARNING MODELS | Non-Final OA | International Business Machines Corporation |
| 17873107 | METHOD AND DEVICE FOR CREATING A MACHINE LEARNING SYSTEM | Final Rejection | Robert Bosch GmbH |
| 17453610 | DEVICE AND METHOD FOR TRAINING A CONTROL STRATEGY WITH THE AID OF REINFORCEMENT LEARNING | Non-Final OA | Robert Bosch GmbH |
| 17319729 | LOCAL PERMUTATION IMPORTANCE: A STABLE, LINEAR-TIME LOCAL MACHINE LEARNING FEATURE ATTRIBUTOR | Non-Final OA | Oracle International Corporation |
| 17676944 | ANOMALY DETECTION IN MULTIPLE OPERATIONAL MODES | Final Rejection | NEC Laboratories America, Inc. |
| 17348455 | METHOD AND SYSTEM FOR IDENTIFYING PREDICTABLE FIELDS IN AN APPLICATION FOR MACHINE LEARNING | Final Rejection | Tata Consultancy Services Limited |
| 18186101 | Method and Apparatus for Continuous Learning of Object Anomaly Detection and State Classification Model | Non-Final OA | SK Planet Co., Ltd. |
| 17846007 | Network Space Search for Pareto-Efficient Spaces | Final Rejection | MediaTek Inc. |
| 17520448 | NOVEL METHOD OF TRAINING A NEURAL NETWORK | Final Rejection | NVIDIA Corporation |
| 18091244 | ARTIFICIAL NEURAL NETWORK FOR DATA IMBALANCED REGRESSION AND METHOD FOR TRAINING SAME | Non-Final OA | Royal Bank of Canada |
| 17749905 | SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH INVERTIBLE NEURAL NETWORKS | Final Rejection | ROYAL BANK OF CANADA |
| 17564802 | METHODS FOR IMPLEMENTING ERROR-DIVISIBLE QUANTUM GATES | Final Rejection | COLORADO SCHOOL OF MINES |
| 17967484 | Feature and Case Importance and Confidence for Imputation in Computer-Based Reasoning Systems | Non-Final OA | Howso Incorporated |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy