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Events for October

  • PhD Thesis Proposal - Umang Gupta

    Mon, Oct 03, 2022 @ 03:00 PM - 04:30 PM

    Computer Science

    University Calendar


    PhD Candidate: Umang Gupta

    Title: Controlling Information for Fairness and Privacy in Machine Learning

    Committee: Greg Ver Steeg, Paul Thompson, Bistra Dilkina, Kristina Lerman, Fred Morstatter.

    Abstract:
    With the increasing ubiquity of machine learning models in everyday life, a critical issue occurs when these models capture unintended information. This leads to unintended biases and memorization of training data, resulting in unfair outcomes and risking privacy. These phenomena are especially troublesome in applications where data privacy needs to be upheld, such as medical imaging, or where unfairness can lead to disparate outcomes, such as hiring decisions. To this end, we study this underlying problem of capturing unintended information in various domains. Specifically, we discuss ways to ensure fairness in decision-making by learning fair data representations and controlling unfair language generation by correctly modulating information in neural networks. Finally, we demonstrate that releasing neuroimaging models can reveal private information about the individuals participating in the training set and discuss ongoing work on learning with privacy.

    WebCast Link: https://usc.zoom.us/j/96698045892?pwd=UTRDZUNHRTVFS1dieW1URmtEWXZydz09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • PhD Thesis Proposal - Shichen Liu

    Wed, Oct 05, 2022 @ 10:00 AM - 11:00 AM

    Computer Science

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    PhD Candidate: Shichen Liu

    Title: Fast and Accurate Geometry Inference with Learned Recurrent Optimizers

    Time: Oct. 5th, 2022, 10am - 11am

    Committee: Yajie Zhao, Randall Hill, Stefanos Nikolaidis, Andrew Nealen, Aiichiro Nakano

    Abstract:
    Geometry inference requires accuracy, efficiency, and robustness in various use cases, such as AR/VR, autonomous driving, etc. Compared to traditional methods, deep convolutional neural networks have achieved noticeable improvement on a wide range of geometry inference tasks in terms of robustness. However, these models either produce inaccurate predictions or have a large computation overhead due to specially designed structures, which are hard to be deployed into a real-world system. In this thesis proposal, I introduce a framework that can largely improve the inference speed with high accuracy for geometry inference by taking the vanishing point detection task as a case study.


    WebCast Link: https://usc.zoom.us/j/3154287574?pwd=c2ZjeExXR2NpVEtvZjJBd0QrRGVRZz09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Repeating EventGreat Minds in Stem October 6-8, 2022

    Thu, Oct 06, 2022 @ 11:00 AM - 12:00 PM

    USC Viterbi School of Engineering

    University Calendar


    Save the Date! October 6-8, 2022 GMiS Conference. Pasadena Convention Center. Register now at gmisconference.org Register through September 16th for only $99 using code GMiSCon2022

    More Information: 2022 Conference Flyer - 09.16.22.pdf

    Audiences: Everyone Is Invited

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    Contact: Raymond USC Viterbi

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  • Repeating EventGreat Minds in Stem October 6-8, 2022

    Fri, Oct 07, 2022 @ 11:00 AM - 12:00 PM

    USC Viterbi School of Engineering

    University Calendar


    Save the Date! October 6-8, 2022 GMiS Conference. Pasadena Convention Center. Register now at gmisconference.org Register through September 16th for only $99 using code GMiSCon2022

    More Information: 2022 Conference Flyer - 09.16.22.pdf

    Audiences: Everyone Is Invited

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    Contact: Raymond USC Viterbi

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  • Repeating EventGreat Minds in Stem October 6-8, 2022

    Sat, Oct 08, 2022 @ 11:00 AM - 12:00 PM

    USC Viterbi School of Engineering

    University Calendar


    Save the Date! October 6-8, 2022 GMiS Conference. Pasadena Convention Center. Register now at gmisconference.org Register through September 16th for only $99 using code GMiSCon2022

    More Information: 2022 Conference Flyer - 09.16.22.pdf

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Raymond USC Viterbi

    OutlookiCal