PREDICTION-CORRECTION APPROACH TO ZERO SHOT LEARNING

    公开(公告)号:US20210365740A1

    公开(公告)日:2021-11-25

    申请号:US17397677

    申请日:2021-08-09

    Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.

    PROVIDING WEB APPLICATION COMPONENTS WITHIN REMOTE SYSTEMS

    公开(公告)号:US20210365579A1

    公开(公告)日:2021-11-25

    申请号:US17305481

    申请日:2021-07-08

    Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for providing components for building web applications within remote systems. A component database for web application components and an application database for web applications can be maintained in a multi-tenant database system. A first request can be processed to provide a web application for use at a remote site associated with a developer. Authorization of the remote site by the multi-tenant database can be determined based on a list of allowed remote sites for web applications. Data associated with the web application can then be sent to the remote site. A second request can be processed to provide a component for use at the remote site, indicating a component location of the remote site. Data associated with the first component can then be sent to the remote site. The data can be capable of causing an instance of the first component to be included at the component location of the remote site.

    SYSTEM AND METHOD FOR TRANSFORMATION OF UNSTRUCTURED DOCUMENT TABLES INTO STRUCTURED RELATIONAL DATA TABLES

    公开(公告)号:US20210365450A1

    公开(公告)日:2021-11-25

    申请号:US17398755

    申请日:2021-08-10

    Inventor: Joy Mustafi

    Abstract: Embodiments described herein transforms a complex and usually unstructured table to a relational table based on the header pattern. Specifically, the original complex table is expanded into a single dimensional relational database format, in which each cell corresponds to one or more corresponding categories or subcategories from the original header. The transformed one-dimensional relational table is then populated with the corresponding cell values from the original table. In this way, data from the original complex and unstructured data table can be stored at a relational database.

    POLYMORPHIC APPLICATION ARCHITECTURE

    公开(公告)号:US20210365246A1

    公开(公告)日:2021-11-25

    申请号:US15929812

    申请日:2020-05-22

    Inventor: Phil Calvin

    Abstract: Systems and methods for generating mobile applications are described. A user interface is provided to enable selecting one or more declaratives to generate a mobile application, wherein the one or more declaratives are used to visually configure characteristics of the mobile application. Data corresponding to selection of one or more declaratives for the mobile application is received. Data corresponding to selection of a layout to associate the one or more selected declaratives with the mobile application is received. Metadata associated with the one or more selected declaratives and metadata associated with the selected layout is determined. A mobile application may be generated at least based on the determined metadata associated with the one or more selected declaratives and with the selected layout.

    Preventing database package updates to fail customer requests and cause data corruptions

    公开(公告)号:US11182144B2

    公开(公告)日:2021-11-23

    申请号:US16236915

    申请日:2018-12-31

    Abstract: A method for processing database package connections and updates has been developed. First, an execution request for a database package is received. A connection context is then established which can execute the execution request. The database package is determined whether or not it is valid with proper package updates prior to establishing the connection. If the database package is determined to not be valid, change packages are retrieved for the database package. The valid change packages are then compiled for the database package and the connection request is executed for the updated database package with the connection context.

    SYSTEMS AND METHODS FOR GENERATING AN API CACHING LIBRARY USING A SHARED RESOURCE FILE

    公开(公告)号:US20210349771A1

    公开(公告)日:2021-11-11

    申请号:US16867083

    申请日:2020-05-05

    Abstract: The present disclosure is directed to systems and methods for generating an API caching library using a shared resource file. For example, a method may include: receiving, at a first platform, a shared resource file comprising metadata for declaratively deriving an application programming interface (API) caching library for a native application operating on the first platform and a corresponding application related to the native application for a second platform; parsing the shared resource file to extract the metadata at run-time of the native application; declaratively deriving the API caching library based on the extracted metadata, the declaratively deriving the API caching library comprising creating a plurality of objects that represent respective API endpoints of the API caching library; and executing a function of the native application based on at least one of the API endpoints.

    Generating dual sequence inferences using a neural network model

    公开(公告)号:US11170287B2

    公开(公告)日:2021-11-09

    申请号:US15881582

    申请日:2018-01-26

    Abstract: A computer-implemented method for dual sequence inference using a neural network model includes generating a codependent representation based on a first input representation of a first sequence and a second input representation of a second sequence using an encoder of the neural network model and generating an inference based on the codependent representation using a decoder of the neural network model. The neural network model includes a plurality of model parameters learned according to a machine learning process. The encoder includes a plurality of coattention layers arranged sequentially, each coattention layer being configured to receive a pair of layer input representations and generate one or more summary representations, and an output layer configured to receive the one or more summary representations from a last layer among the plurality of coattention layers and generate the codependent representation.

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