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    HIERARCHICAL WORD EMBEDDING SYSTEM
    51.
    发明申请
    HIERARCHICAL WORD EMBEDDING SYSTEM 有权

    公开(公告)号：US20220327489A1

    公开(公告)日：2022-10-13

    申请号：US17714434

    申请日：2022-04-06

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Iain Melvin ,  Christopher A White ,  Christopher Malon ,  Hans Peter Graf

    IPC: G06Q10/10 ,  G06F40/279

    Abstract: Systems and methods for matching job descriptions with job applicants is provided. The method includes allocating each of one or more job applicants' curriculum vitae (CV) into sections; applying max pooled word embedding to each section of the job applicants' CVs; using concatenated max-pooling and average-pooling to compose the section embeddings into an applicant's CV representation; allocating each of one or more job position descriptions into specified sections; applying max pooled word embedding to each section of the job position descriptions; using concatenated max-pooling and average-pooling to compose the section embeddings into a job representation; calculating a cosine similarity between each of the job representations and each of the CV representations to perform job-to-applicant matching; and presenting an ordered list of the one or more job applicants or an ordered list of the one or more job position descriptions to a user.

    LEARNING ORTHOGONAL FACTORIZATION IN GAN LATENT SPACE
    52.
    发明申请
    LEARNING ORTHOGONAL FACTORIZATION IN GAN LATENT SPACE 有权

    公开(公告)号：US20220254152A1

    公开(公告)日：2022-08-11

    申请号：US17585754

    申请日：2022-01-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Hans Peter Graf ,  Ligong Han

    IPC: G06V10/82 ,  G06N3/04 ,  G06V10/80 ,  G06V10/77 ,  G06V10/62

    Abstract: A method for learning disentangled representations of videos is presented. The method includes feeding each frame of video data into an encoder to produce a sequence of visual features, passing the sequence of visual features through a deep convolutional network to obtain a posterior of a dynamic latent variable and a posterior of a static latent variable, sampling static and dynamic representations from the posterior of the static latent variable and the posterior of the dynamic latent variable, respectively, concatenating the static and dynamic representations to be fed into a decoder to generate reconstructed sequences, and applying three regularizers to the dynamic and static latent variables to trigger representation disentanglement. To facilitate the disentangled sequential representation learning, orthogonal factorization in generative adversarial network (GAN) latent space is leveraged to pre-train a generator as a decoder in the method.

    SELF-SUPERVISED SEQUENTIAL VARIATIONAL AUTOENCODER FOR DISENTANGLED DATA GENERATION
    55.
    发明申请
    SELF-SUPERVISED SEQUENTIAL VARIATIONAL AUTOENCODER FOR DISENTANGLED DATA GENERATION 有权

    公开(公告)号：US20210142120A1

    公开(公告)日：2021-05-13

    申请号：US17088043

    申请日：2020-11-03

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Yizhe Zhu ,  Asim Kadav ,  Hans Peter Graf

    IPC: G06K9/62 ,  G06K9/00

    Abstract: A computer-implemented method is provided for disentangled data generation. The method includes accessing, by a variational autoencoder, a plurality of supervision signals. The method further includes accessing, by the variational autoencoder, a plurality of auxiliary tasks that utilize the supervision signals as reward signals to learn a disentangled representation. The method also includes training the variational autoencoder to disentangle a sequential data input into a time-invariant factor and a time-varying factor using a self-supervised training approach which is based on outputs of the auxiliary tasks obtained by using the supervision signals to accomplish the plurality of auxiliary tasks.

    System and method for fault-tolerant parallel learning over non-iid data
    57.
    发明授权
    System and method for fault-tolerant parallel learning over non-iid data 有权

    公开(公告)号：US10291485B2

    公开(公告)日：2019-05-14

    申请号：US15296560

    申请日：2016-10-18

    Applicant: NEC Laboratories America, Inc.

    Inventor： Asim Kadav ,  Renqiang Min ,  Erik Kruus ,  Cun Mu

    IPC: H04L12/00 ,  H04L12/24 ,  G06N20/00

    Abstract: A network device, system, and method are provided. The network device includes a processor. The processor is configured to store a local estimate and a dual variable maintaining an accumulated subgradient for the network device. The processor is further configured to collect values of the dual variable of neighboring network devices. The processor is also configured to form a convex combination with equal weight from the collected dual variable of neighboring network devices. The processor is additionally configured to add a most recent local subgradient for the network device, scaled by a scaling factor, to the convex combination to obtain an updated dual variable. The processor is further configured to update the local estimate by projecting the updated dual variable to a primal space.

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