Abstract: Disclosed herein are system, method, and computer program product embodiments for facilitating access to and incorporation of APIs within an application during development, while ensuring that the API satisfies quality constraints. These quality constraints are controlled by the application of rules, which result in a maturity score for the API, in accordance with embodiments. These rules may be provided by a variety of sources for use in scoring the API at various stages. For example, a developer group may control access to developers within the group by applying a ruleset that restricts APIs for applications written by the developer group to a threshold score. This threshold score can limit or restrict APIs that are offered to a developer by an API exchange. Additionally, a ruleset may be applied to enforce a minimum score for submission of an API for inclusion within an API exchange.

Abstract: Approaches for multi-hop knowledge graph reasoning with reward shaping include a system and method of training a system to search relational paths in a knowledge graph. The method includes identifying, using an reasoning module, a plurality of first outgoing links from a current node in a knowledge graph, masking, using the reasoning module, one or more links from the plurality of first outgoing links to form a plurality of second outgoing links, rewarding the reasoning module with a reward of one when a node corresponding to an observed answer is reached, and rewarding the reasoning module with a reward identified by a reward shaping network when a node not corresponding to an observed answer is reached. In some embodiments, the reward shaping network is pre-trained.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a shim driver configurable to provide a database driver. A shim driver class is loaded from a class path and instantiated such that a shim driver is generated. A directory path and database driver class name are obtained from a configuration file. An application transmits a request for a database driver via an application programming interface (API) of the shim driver, where the request includes the directory path and database driver class name. The shim driver loads a database driver class identified by the database driver class name using the directory path, instantiates the database driver class such that a first database driver is generated, and provides the first database driver responsive to the request.

Abstract: A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate space using a second embedding function, selecting at least one target from the set of targets, and identifying a second set of items from the first set of items that are proximate to the at least one target as candidates from the recommendations.

Abstract: Methods and systems are provided for declaratively configuring a process and a page for a particular service provider. User interface(s) can be displayed at a user system and include options for declaratively configuring different log in processes and log in pages for the particular service provider. After receiving a selection of one of the options to configure the log in process and the log in page, inputs can be received that specify a type of identifiers associated with a user to be verified as part of the log in process, and an identity verification process to define how the user will be verified as part of the log in process for the service provider.

Abstract: Techniques are disclosed relating to ensuring data integrity between database objects. A computer system may receive a data integrity request for a first set of database tables. The computer system may generate at least two work items that correspond to respective data cell groups in the first set of database tables. The computer system may then cause a plurality of processes to perform the at least two work items to generate a first plurality of hash values that includes hash values for the respective data cell groups. The first plurality of hash values may be usable to compare with corresponding ones of a second plurality of hash values generated based on corresponding data cell groups in a second set of database tables replicated from the first set of database tables.

Abstract: Embodiments described herein provide a query autocompletion (QAC) framework at subword level. Specifically, the QAC framework employs a subword encoder that encodes or converts the sequence of input alphabet letters into a sequence of output subwords. The generated subword candidate sequences from the subword encoder is then for the n-gram language model to perform beam search on. For example, as user queries for search engines are in general short, e.g., ranging from 10 to 30 characters. The n-gram language model at subword level may be used for modeling such short contexts and outperforms the traditional language model in both completion accuracy and runtime speed. Furthermore, key computations are performed prior to the runtime to prepare segmentation candidates in support of the subword encoder to generate subword candidate sequences, thus eliminating significant computational overhead.

Abstract: The type system of a functional programming language, such as DataWeave and/or the like, may be extended to add valuable semantic information to data types (e.g., attributes of data that inform a compiler/interpreter how the data should be used, etc.) that is automatically generated and/or hidden from a developer/programmer. For example, the type system may be configured for flow typing, based on a graph of type dependencies between expressions, without modifying an existing implementation, except at places where extra information can be obtained. Different parts of the type system implementation may be modified, for example, based on one or more injected retyper nodes, to provide more and better type inference.

Abstract: Embodiments described herein provide a composed variational natural language generation (CLANG) model that is configured to generate training samples for few-shot intents. Specifically, the CLANG model may build connections between existing training samples of many-shot intents and new training samples of few-shot intents by modeling an intent as a combination of a domain and an action. In this way, the CLANG model transfers knowledge from existing many-shot intents to few-shot intents in natural language generation by learning how to compose utterances with many-shot intents and transferring such knowledge to few-shot intents.

Abstract: Techniques are disclosed relating to efficiently managing skip list data structures. In some embodiments, a computing system stores a skip list including a plurality of key-value records that include one or more pointers to others of the plurality of key-value records. The computing system scans the plurality of key-value records in key order to identify key-value records to be purged from the skip list. The scanning includes maintaining a list of key-value records that include pointers that point to key-value records that have not yet been scanned by the scanning. In response to identifying a key-value record for purging, the computing system purges the key-value record by substituting the pointers included the key-value records of the list with pointers included in the key-value record being purged.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to receive, from a mobile device, a compliance audit request to at least recognize one or more products within the audit image. The system is further configured to select a first object recognition model having a first associated object recognition model identifier from a model selection list based at least on a required object recognition list, wherein the first object recognition model is configured to recognize a first set of object names within the required object recognition list. The system is further configured to request the computer vision system to perform object recognition using the first object recognition model to recognize the first set of object names within the audit image, and transmit audit result information to the mobile device.

Abstract: One or more enrollment messages may be received via a communication message. The enrollment messages may include identification information associated with a designated person, health status information indicating the presence or absence of one or more medical symptoms associated with the designated person, and contact information identifying one or more individuals with which the designated person has recently come into physical proximity. A visual representation of a contact tracing graph may be generated for presentation on a user interface.

Abstract: Systems and methods are provided that employ knowledge distillation under a multi-task learning setting. In some embodiments, the systems and methods are implemented with a larger teacher model and a smaller student model, each of which comprise one or more shared layers and a plurality of task layers for performing multiple tasks. During training of the teacher model, its shared layers are initialized, and then the teacher model is multi-task refined. The teacher model predicts teacher logits. During training of the student model, its shared layers are initialized. Knowledge distillation is employed to transfer knowledge from the teacher model to the student model by the student model updating its shared layers and task layers, for example, according to the teacher logits of the teacher model. Other features are also provided.

Abstract: Described is a method in a cloud-based system for implementing changes to flow engine software that executes user-specific flows for a plurality of users. The method includes: receiving a request to load and execute a user-specific flow; identifying an API version identifier for the user-specific flow; loading the user-specific flow; determining whether a software change to the flow engine software should be applied when executing the user-specific flow based on the API version identifier; and executing the user-specific flow using the flow engine software with the software change when it is determined, based on the API version identifier, that the software change to the flow engine software should be applied.

Abstract: The technology disclosed relates to a self-service customization protocol for a single page website that implements a support component add-in to a CRM website. The protocol may be configured to customize support component add-in code for the CRM website, in some embodiments, at least by customization instructions applicable to the at least one page element of the support component add-in to the CRM website. In some embodiments, the at least one page element may be configured to search at least one support article hosted by the CRM website, display a visual representation of at least one featured category of articles available within the CRM website, and contact support for the CRM website, for example.

Abstract: Approaches for using self-balancing shaped rewards include randomly selecting a start and goal state, traversing first and second trajectories for moving from the start state toward the goal state where a first terminal state of the first trajectory is closer to the goal state than a second terminal state of the second trajectory, updating rewards for the first and trajectories using a self-balancing reward function based the terminal states of the other trajectory, determining a gradient for the goal-oriented task module, and updating one or more parameters of the goal-oriented task module based on the gradient. The second trajectory contributes to the determination of the gradient and the first trajectory contributes to the determination of the gradient when the first terminal state is within a first threshold distance of the second terminal state or the first terminal state is within a second threshold distance of the goal state.

Abstract: Technologies are provided for dynamically reconfiguring a database system of a tenant that is part of a multi-tenant database system based on risk profile(s) of the tenant. The database system includes database and an application server of the tenant. When a request is received from a client of the tenant, a database transaction having one or more query language patterns can be automatically detected. Query language pattern(s) can be automatically associated with a corresponding transaction category for that tenant, and a corresponding risk profile for that tenant can be determined based on the corresponding transaction category. Based on the corresponding risk profile, it can be determined if a dynamic reconfiguration process should be performed, and if so, system parameter(s) of the database system can be dynamically reconfigured to take action(s) to address one or more risks associated with the corresponding risk profile.

Abstract: Disclosed herein are system, method, and computer program product embodiments for self-paced migration of an application programming language (API) gateway. An embodiment operates by applying a policy chain comprising a first set of policies to an API request received at a first API gateway. The embodiment forwards the API request to a second API gateway and applies, at the second gateway, a virtual policy chain comprising a second set of policies to the API request. The embodiment then forwards the API request to the first API gateway and routes the API request to a corresponding backend API.

Abstract: Embodiments described herein provide an attention-based tree encoding mechanism. Specifically, the attention layer receives as input the pre-parsed constituency tree of a sentence and the lower-layer representations of all nodes. The attention layer then performs upward accumulation to encode the tree structure from leaves to the root in a bottom-up fashion. Afterwards, weighted aggregation is used to compute the final representations of non-terminal nodes.

Abstract: Disclosed herein are system, method, and computer program product embodiments providing a data sorting and rating system. An embodiment operates by detecting a user modification of a particular value of a sorted plurality of values of a column displayed in a visual interface including a sorting visual indicator indicating that the plurality of values are sorted. It is determined that the values are no longer sorted after the user modification. The sorting visual indicator is replaced with a refresh visual indicator based on the determination that the plurality of values are no longer sorted. The values including the user modification are re-sorted based on a selection of the refresh visual indicator. The re-sorted plurality of values including the user modification of the particular value are provided for display in the visual interface.