machine learning Articles

  • graph-of-fast-tree-shap-version-comparison

    FastTreeSHAP: Accelerating SHAP value computation for trees

    March 15, 2022

    Co-authors: Jilei Yang, Humberto Gonzalez, Parvez Ahammad In this blog post, we introduce and announce the open sourcing of the FastTreeSHAP package, a Python package based on the paper Fast TreeSHAP: Accelerating SHAP Value Computation for Trees (presented at the NeurIPS2021 XAI4Debugging Workshop). FastTreeSHAP enables an efficient interpretation of tree-based...

  • an-example-for-using-the-member-connection-graph-for-a-job-recommendation-task

    Performance-Adaptive Sampling Strategy (PASS) for GNNs: Open sourcing PASS

    March 7, 2022

    Co-authors: Jaewon Yang, Minji Yoon, Sufeng Niu, Dash Shi, and Qi He Graphs are a universal way to represent relationships among entities. Social graphs represent how people interact with each other, professional graphs represent how people collaborate, and so on. Graph Neural Networks (GNNs) are deep learning models that are specialized for understanding graphs...

  • diagram-of-training-with-self-supervision

    Completing a member knowledge graph with Graph Neural Networks

    December 1, 2021

    Co-authors: Jaewon Yang, Jiatong Chen, and Yanen Li Introduction LinkedIn members are able to enrich their profiles with information about themselves, like professional history, education, skills, and so on. From members’ inputs, we use AI models to extract their profile attributes or profile entities. This process is called Standardization and Knowledge Graph...

  • title-card

    Our approach to building transparent and explainable AI...

    October 7, 2021

    Co-authors: Parvez Ahammad, Kinjal Basu, Yazhou Cao, Shaunak Chatterjee, David Durfee, Sakshi Jain, Nihar Mehta, Varun Mithal, and...

  •  encoded-activity-sequence-showing-requests-made-by-a-member-that-was-not-using-abusive-automation

    Using deep learning to detect abusive sequences of member...

    September 2, 2021

    Co-authors: James Verbus and Beibei Wang The Anti-Abuse AI Team at LinkedIn creates, deploys, and maintains models that detect and...

  • lambda-learner-logo

    Lambda Learner: Nearline learning on data streams

    August 11, 2021

    Co-authors: Kirill Talanine, Jeffrey D. Gee, Rohan Ramanath, Konstantin Salomatin, Gungor Polatkan, Onkar Dalal, and Deepak Kumar...