公开(公告)号：US20200226425A1

公开(公告)日：2020-07-16

申请号：US16245489

申请日：2019-01-11

Applicant: International Business Machines Corporation

Inventor： Yang Zhang ,  Shiyu Chang ,  Mo Yu ,  David S. Kung

IPC: G06K9/62 ,  G06N3/08 ,  G06K9/03

Abstract: Techniques regarding a zero-confidence adversarial attack are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an adversarial component that computes a perturbation that causes misclassification by a neural network classifier. The computer executable components can also comprise a restoration component that determines a normal vector to a constraint contour developed by the neural network classifier. Further, the computer executable components can comprise a projection component that determines a tangential vector to the constraint contour.

公开(公告)号：US11736423B2

公开(公告)日：2023-08-22

申请号：US17307175

申请日：2021-05-04

Applicant: International Business Machines Corporation

Inventor： Dakuo Wang ,  Mo Yu ,  Chuang Gan ,  Bo Wu

IPC: G06F15/16 ,  H04L51/04 ,  G06F11/30 ,  G06F40/30 ,  G06F18/21

CPC classification number: H04L51/04 ,  G06F11/302 ,  G06F18/2178 ,  G06F40/30

Abstract: Systems, computer-implemented methods, and/or computer program products facilitating a process to identify and respond to a primary electronic message are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a determination component can determine that a primary electronic message has not received a response electronic message. An analysis component can generate a generated electronic message addressing the informational or emotional content of the primary electronic message. In one or more embodiments, an updating component can update the analytical model based on one or more feedbacks to the generated electronic message, where the analytical model can remain active while being updated. The one or more feedbacks can comprise a feedback from an entity-in-the-loop monitoring outputs of the analytical model including the generated electronic message.

公开(公告)号：US11645514B2

公开(公告)日：2023-05-09

申请号：US16530457

申请日：2019-08-02

Applicant: International Business Machines Corporation

Inventor： Ming Tan ,  Dakuo Wang ,  Mo Yu ,  Haoyu Wang ,  Yang Yu ,  Shiyu Chang ,  Saloni Potdar

IPC: G06N3/08 ,  G06F17/16 ,  G06N20/00

CPC classification number: G06N3/08 ,  G06N20/00 ,  G06F17/16

Abstract: A computer-implemented method includes using an embedding network to generate prototypical vectors. Each prototypical vector is based on a corresponding label associated with a first domain. The computer-implemented method also includes using the embedding network to generate an in-domain test vector based on at least one data sample from a particular label associated with the first domain and using the embedding network to generate an out-of-domain test vector based on at least one other data sample associated with a different domain. The computer-implemented method also includes comparing the prototypical vectors to the in-domain test vector to generate in-domain comparison values and comparing the prototypical vectors to the out-of-domain test vector to generate out-of-domain comparison values. The computer-implemented method also includes modifying, based on the in-domain comparison values and the out-of-domain comparison values, one or more parameters of the embedding network.

公开(公告)号：US20220147864A1

公开(公告)日：2022-05-12

申请号：US17095688

申请日：2020-11-11

Applicant: International Business Machines Corporation ,  Massachusetts Institute of Technology

Inventor： Shiyu Chang ,  Yang Zhang ,  Mo Yu ,  Tommi S. Jaakkola

IPC: G06N20/00 ,  G06Q30/02

Abstract: To improve actual labels that are produced by a black box computer classifier system from inputs, identify, using an environment-aware predictor and an environment-agnostic predictor, a subset of the inputs. The subset of the inputs has a stable correlation with the actual labels across a plurality of environments. Identify the subset of the inputs as an explanatory rationale for the actual labels. Display the explanatory rationale with the actual labels to a consumer of the actual labels. Optionally, in response to the explanatory rationale failing a rubric established by the consumer, generate revised inputs by removing the explanatory rationale from the inputs; and produce revised labels by processing the revised inputs with the environment-agnostic predictor.

公开(公告)号：US11263402B2

公开(公告)日：2022-03-01

申请号：US16404156

申请日：2019-05-06

Applicant: International Business Machines Corporation

Inventor： Ming Tan ,  Dakuo Wang ,  Mo Yu ,  Chuang Gan ,  Haoyu Wang ,  Shiyu Chang

IPC: G06F40/30 ,  G06F40/205 ,  G06F40/289

Abstract: Techniques facilitating detection of conversation threads in unstructured channels are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that employs a model to detect conversation messages based on a defined confidence level and assigns the conversation messages to respective conversation thread categories. The computer executable components also can comprise a model component that trains the model on conversation messages that comprise respective text data, wherein the model is trained to detect the respective text data to the defined confidence level.

公开(公告)号：US20210279386A1

公开(公告)日：2021-09-09

申请号：US16810687

申请日：2020-03-05

Applicant: International Business Machines Corporation

Inventor： Xiaoxiao Guo ,  Xin Zhang ,  Mo Yu

IPC: G06F30/27 ,  G06F30/28

Abstract: A method of using multiple artificial intelligence models for generating a high fidelity simulation includes generating, by a computing device, multiple artificial intelligence models. Each artificial intelligence model simulating an industry design process. The computing device further fusing the multiple artificial intelligence models to generate a best-fit proposed industry design process. The computing device utilizes a physics constraint model to determine whether the best-fit proposed industry design process is feasible. The best-fit proposed industry design process is displayed in response to determining that the best-fit proposed industry design process is feasible.

公开(公告)号：US20210117772A1

公开(公告)日：2021-04-22

申请号：US16658122

申请日：2019-10-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Shiyu Chang ,  Mo Yu ,  Yang Zhang ,  Tommi S. Jaakkola

IPC: G06N3/08 ,  G06N3/04

Abstract: A method and system of determining an output label rationale are provided. A first generator receives a first class of data and selects one or more input features from the first class of data. A first predictor receives the one or more selected input features from the first generator and predicts a first output label. A second generator receives a second class of data and selects one or more input features from the second class of data. A second predictor receives the one or more selected input features from the second generator and predicts a second output label. A discriminator receives the first and second output labels and determines whether the selected one or more input features from the first class of data or the selected features of the one or more input features from the second class of data, more accurately represents the first output label.

公开(公告)号：US20170364594A1

公开(公告)日：2017-12-21

申请号：US15183742

申请日：2016-06-15

Applicant: International Business Machines Corporation

Inventor： Ying Chen ,  Ioana Roxana Stanoi ,  Su Yan ,  Mo Yu

IPC: G06F17/30

Abstract: A set of documents is parsed. Members of the set of documents include a set of text elements and a set of visual elements. A text content stream based on the set of text elements and a visual content stream based on the set of visual elements are produced. For respective documents, a set of respective visual element summarizations is built from the visual content stream. Each visual summarization includes a text description of a respective visual element in the respective document. A holistic index is created by indexing the text content from the text content stream and the text descriptions of the visual elements in a single search index. The indexing uses a set of semantic relationships between the text content from the text content stream and the textual descriptions of the visual elements. A user interface allows a user to selectively search text content and visual content.