Search Results - "Fereidooni, Sonia"

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  1. 1

    BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos by Sun, Jennifer J., Karashchuk, Lili, Dravid, Amil, Ryou, Serim, Fereidooni, Sonia, Tuthill, John C., Katsaggelos, Aggelos, Brunton, Bingni W., Gkioxari, Georgia, Kennedy, Ann, Yue, Yisong, Perona, Pietro

    “…Quantifying motion in 3D is important for studying the behavior of humans and other animals, but manual pose annotations are expensive and time-consuming to…”
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    Conference Proceeding
  2. 2

    Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks by Mei, Katelyn X, Fereidooni, Sonia, Caliskan, Aylin

    Published 08-06-2023
    “…The rapid deployment of artificial intelligence (AI) models demands a thorough investigation of biases and risks inherent in these models to understand their…”
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    Journal Article
  3. 3

    Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process by Sun, Sophia, Chen, Wenyuan, Zhou, Zihao, Fereidooni, Sonia, Jortberg, Elise, Yu, Rose

    Published 28-05-2024
    “…Mechanical Circulatory Support (MCS) devices, implemented as a probabilistic deep sequence model. Existing mechanical simulators for MCS rely on…”
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    Journal Article
  4. 4

    "It Can Relate to Real Lives": Attitudes and Expectations in Justice-Centered Data Structures & Algorithms for Non-Majors by Batra, Anna, Zhou, Iris, Choi, Suh Young, Gao, Chongjiu, Xiao, Yanbing, Fereidooni, Sonia, Lin, Kevin

    Published 19-12-2023
    “…Prior work has argued for a more justice-centered approach to postsecondary computing education by emphasizing ethics, identity, and political vision. In this…”
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    Journal Article
  5. 5

    BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos by Sun, Jennifer J, Karashchuk, Lili, Dravid, Amil, Ryou, Serim, Fereidooni, Sonia, Tuthill, John, Katsaggelos, Aggelos, Brunton, Bingni W, Gkioxari, Georgia, Kennedy, Ann, Yue, Yisong, Perona, Pietro

    Published 14-12-2022
    “…Quantifying motion in 3D is important for studying the behavior of humans and other animals, but manual pose annotations are expensive and time-consuming to…”
    Get full text
    Journal Article