中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

85 records (took 0.025 seconds)

    Actionable suggestions for activities
    73.
    发明授权
    Actionable suggestions for activities 有权

    公开(公告)号：US11887016B2

    公开(公告)日：2024-01-30

    申请号：US17102108

    申请日：2020-11-23

    Applicant: Google LLC

    Inventor： Daniel M. Keysers ,  Victor Carbune ,  Thomas Deselaers

    IPC: G06N5/04 ,  G06N20/00

    CPC classification number: G06N5/04 ,  G06N20/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing actionable suggestions are disclosed. In one aspect, a method includes receiving (i) an indication that an event detection module has determined that a shared event of a particular type is presently occurring or has occurred, and (ii) data referencing an attribute associated with the shared event. The method includes selecting, from among multiple output templates that are each associated with a different type of shared event, a particular output template associated with the particular type of shared event detected by the module. The method generates a notification for output using at least (i) the selected particular output template, and (ii) the data referencing the attribute associated with the shared event. The method then provides, for output to a user device, the notification that is generated.

    Systems and Methods for Improved Adversarial Training of Machine-Learned Models
    75.
    发明申请
    Systems and Methods for Improved Adversarial Training of Machine-Learned Models 有权

    公开(公告)号：US20230117000A1

    公开(公告)日：2023-04-20

    申请号：US17978498

    申请日：2022-11-01

    Applicant: Google LLC

    Inventor： Victor Carbune ,  Thomas Deselaers

    IPC: G06N5/04 ,  G06N20/00 ,  G06N3/084 ,  G06F18/214 ,  G06N3/045

    Abstract: Example aspects of the present disclosure are directed to systems and methods that enable improved adversarial training of machine-learned models. An adversarial training system can generate improved adversarial training examples by optimizing or otherwise tuning one or hyperparameters that guide the process of generating of the adversarial examples. The adversarial training system can determine, solicit, or otherwise obtain a realism score for an adversarial example generated by the system. The realism score can indicate whether the adversarial example appears realistic. The adversarial training system can adjust or otherwise tune the hyperparameters to produce improved adversarial examples (e.g., adversarial examples that are still high-quality and effective while also appearing more realistic). Through creation and use of such improved adversarial examples, a machine-learned model can be trained to be more robust against (e.g., less susceptible to) various adversarial techniques, thereby improving model, device, network, and user security and privacy.

    AUTOMATED ASSISTANTS THAT ACCOMMODATE MULTIPLE AGE GROUPS AND/OR VOCABULARY LEVELS
    77.
    发明申请
    AUTOMATED ASSISTANTS THAT ACCOMMODATE MULTIPLE AGE GROUPS AND/OR VOCABULARY LEVELS 有权

    公开(公告)号：US20230031521A1

    公开(公告)日：2023-02-02

    申请号：US17962636

    申请日：2022-10-10

    Applicant: GOOGLE LLC

    Inventor： Pedro Gonnet Anders ,  Victor Carbune ,  Daniel Keysers ,  Thomas Deselaers ,  Sandro Feuz

    IPC: G10L15/18 ,  G10L15/22 ,  G10L15/19

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    GENERATING AND PROVISIONING OF ADDITIONAL CONTENT FOR SOURCE PERSPECTIVE(S) OF A DOCUMENT
    79.
    发明申请
    GENERATING AND PROVISIONING OF ADDITIONAL CONTENT FOR SOURCE PERSPECTIVE(S) OF A DOCUMENT 有权

    公开(公告)号：US20220245332A1

    公开(公告)日：2022-08-04

    申请号：US17728531

    申请日：2022-04-25

    Applicant: GOOGLE LLC

    Inventor： Victor Carbune ,  Thomas Deselaers

    IPC: G06F40/169 ,  G06F16/93 ,  G06F40/20 ,  G06N3/04

    Abstract: Implementations described herein determine, for a given document generated by a given source, one or more portions of content (e.g., phrase(s), image(s), paragraph(s), etc.) of the given document that may be influenced by a source perspective of the given source. Further, implementations determine one or more additional resources that are related to the given source and that are related to the portion(s) of content of the given document. Yet further, implementations utilize the additional resource(s) to determine additional content that provides context for the portion(s) that may be influenced by a source perspective. A relationship, between the additional resource(s) and the portions of the given document, can be defined. Based on the relationship being defined, the additional content can be caused to be rendered at a client device in response to the client device accessing the given document.

    MODIFYING SENSOR DATA USING GENERATIVE ADVERSARIAL MODELS
    80.
    发明申请
    MODIFYING SENSOR DATA USING GENERATIVE ADVERSARIAL MODELS 有权

    公开(公告)号：US20220198609A1

    公开(公告)日：2022-06-23

    申请号：US17603362

    申请日：2019-06-10

    Applicant: Daniel M. KEYSERS ,  Thomas DESELAERS ,  Victor CARBUNE ,  Google LLC

    Inventor： Victor Carbune ,  Daniel M. Keysers ,  Thomas Deselaers

    IPC: G06T3/40 ,  G06T5/50

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that use generative adversarial models to increase the quality of sensor data generated by a first environmental sensor to resemble the quality of sensor data generated by another sensor having a higher quality than the first environmental sensor. A set of first and second training data generated by a first environmental sensor having a first quality and a second sensor having a target quality, respectively, is received. A generative adversarial mode is trained, using the set of first training data and the set of second training data, to modify sensor data from the first environmental sensor by reducing a difference in quality between the sensor data generated by the first environmental sensor and sensor data generated by the target environmental sensor.

Patent Agency Ranking