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Patent Searching and Data


Title:
OUT-OF-DISTRIBUTION DETECTION AND REPORTING FOR MACHINE LEARNING MODEL DEPLOYMENT
Document Type and Number:
WIPO Patent Application WO/2022/178706
Kind Code:
A1
Abstract:
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may detect whether a data sample falls outside of a dataset used to train a machine learning model configured by a network device. For example, a base station may transmit control signaling to the UE to indicate an out-of-distribution (OOD) detection rule configuration that the UE uses to determine whether at least one data sample falls outside of the dataset. If the at least one data sample is determined to fall outside of the dataset using the OOD detection rule configuration, the UE may transmit an indication to the base station that indicates an OOD event has occurred for the at least one sample. Additionally, the base station may parameters for determining the OOD event, OOD detection patterns to indicate when to monitor for the OOD event, or a combination thereof.

Inventors:
REN YUWEI (US)
ZHANG YU (US)
HAO CHENXI (US)
XU HUILIN (US)
Application Number:
PCT/CN2021/077631
Publication Date:
September 01, 2022
Filing Date:
February 24, 2021
Export Citation:
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Assignee:
QUALCOMM INC (US)
REN YUWEI (CN)
ZHANG YU (CN)
HAO CHENXI (CN)
XU HUILIN (US)
International Classes:
G06N3/02; G06N20/00
Domestic Patent References:
WO2020247200A12020-12-10
WO2020025696A12020-02-06
Foreign References:
US20200394506A12020-12-17
CN112084836A2020-12-15
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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