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Neural network training from private data
Z Li, A Amirguliyev, J Probell - US Patent 11,551,083, 2023 - Google Patents
Training and enhancement of neural network models, such as from private data, are
described. A slave device receives a version of a neural network model from a master. The …
described. A slave device receives a version of a neural network model from a master. The …
Systems and methods for domain adaptation in dialog act tagging
Embodiments described herein utilize pre-trained masked language models as the
backbone for dialogue act tagging and provide cross-domain generalization of the resulting …
backbone for dialogue act tagging and provide cross-domain generalization of the resulting …
Knowledge distillation for semiconductor-based applications
R Theagarajan, J Zhang, Y Dong… - US Patent App. 17 …, 2023 - Google Patents
Inventors: kHH YiS| kee Methods and systems for determining information for a tis Yujie
LLSmmSS Newark, CA (US); specimen are provided. One system includes a computer Kris …
LLSmmSS Newark, CA (US); specimen are provided. One system includes a computer Kris …
Uncertainty-refined image segmentation under domain shift
Digital image segmentation is provided. The method comprises training a neural network for
image segmentation with a labeled training dataset from a first domain, wherein a subset of …
image segmentation with a labeled training dataset from a first domain, wherein a subset of …
Model generation apparatus, model generation method, and recording medium
T Inoshita - US Patent App. 17/640,571, 2022 - Google Patents
A plurality of recognition units respectively recognize image data using a learned model and
output degrees of reliability corresponding to classes regarded as recognition targets by …
output degrees of reliability corresponding to classes regarded as recognition targets by …
Trusted execution environment-based model training methods and apparatuses
LIU Yongchao, JIA Bei, Y **, C Yang - US Patent 11,500,992, 2022 - Google Patents
The present specification discloses a trusted execution envi ronment (TEE)-based model
training method and apparatus. In one or more embodiments, the method includes: obtain …
training method and apparatus. In one or more embodiments, the method includes: obtain …
Method, apparatus, and system for training neural network model
METHOD, APPARATUS, AND SYSTEM FOR is provided, where the neural network model
includes first TRAINING NEURAL NETWORK MODEL neural network submodels on …
includes first TRAINING NEURAL NETWORK MODEL neural network submodels on …
Domain adaptation
According to one embodiment of the present disclosure, there is provided a computer-
implemented method. The method comprises obtaining a source model of a source domain …
implemented method. The method comprises obtaining a source model of a source domain …
Diagnosing application problems by learning from fault injections
X Zhu, P Padala, N Morris, D Lee - US Patent 11,886,320, 2024 - Google Patents
Identifying a likely cause of a problem in an application can include: injecting a series of a
set of predetermined faults into the application; sampling a subset of a set of training …
set of predetermined faults into the application; sampling a subset of a set of training …
Uncertainty-refined image segmentation under domain shift
(57) ABSTRACT A method for digital image segmentation is provided. The method
comprises training a neural network for image segmentation with a labeled training dataset …
comprises training a neural network for image segmentation with a labeled training dataset …